How to smoothly align rotated bitmaps side by side without jerkiness? - algorithm

My current program draw a rotated bitmap (64x64) and tile it on the screen by drawing it again but adding an offset based on the computed position of the bitmap top right corner (after rotation), it works fine but i experience some jerkiness of the grid in motion.
The jerkiness doesn't appear if i do the same thing with canvas transforms.
Here is an example which compare both : https://editor.p5js.org/onirom/sketches/A5D-0nxBp
Move mouse to the left part of the canvas for the custom rotation algorithm and to the right part for the canvas one.
It seems that some tile are misplaced by a single pixel which result in the grid jerkiness.
Is there a way to remove the grid jerkiness without doing it as a single pass and keeping the same interpolation scheme ?
Is it a sub pixels correctness issue ?
Here is some code :
let tileImage = null
function preload() {
tileImage = loadImage('data:image/png;base64,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')
}
function setup() {
createCanvas(512, 512)
frameRate(14)
tileImage.loadPixels()
}
function computeRotatedPoint(c, s, x, y) {
return { x: x * c - y * s, y: x * s + y * c }
}
currentTileWidth = 0
currentTileHeight = 0
// draw a rotated bitmap at screen position ox, oy
function drawRotatedBitmap(c, s, ox, oy) {
let dcu = s
let dcv = c
let dru = dcv
let drv = -dcu
let su = (tileImage.width / 2.0) - (currentTileWidth_d2 * dcv + currentTileHeight_d2 * dcu)
let sv = (tileImage.height / 2.0) - (currentTileWidth_d2 * drv + currentTileHeight_d2 * dru)
let ru = su
let rv = sv
for (let y = 0; y < currentTileHeight; y += 1) {
let u = ru
let v = rv
for (let x = 0; x < currentTileWidth; x += 1) {
let ui = u
let vi = v
if (ui >= 0 && ui < tileImage.width) {
let index1 = (floor(ui) + floor(vi) * tileImage.width) * 4
let index2 = (x + ox + (y + oy) * width) * 4
pixels[index2 + 0] = tileImage.pixels[index1 + 0]
pixels[index2 + 1] = tileImage.pixels[index1 + 1]
pixels[index2 + 2] = tileImage.pixels[index1 + 2]
}
u += dru
v += drv
}
ru += dcu
rv += dcv
}
}
let angle = 0
function draw() {
background(0)
const s = sin(angle / 256 * PI * 2)
const c = cos(angle / 256 * PI * 2)
// compute rotated tile width / height
let tw = tileImage.width
let th = tileImage.height
if (angle % 128 < 64) {
currentTileWidth = abs(tw * c + th * s)
currentTileHeight = abs(tw * s + th * c)
} else {
currentTileWidth = abs(tw * c - th * s)
currentTileHeight = abs(tw * s - th * c)
}
currentTileWidth_d2 = (currentTileWidth / 2.0)
currentTileHeight_d2 = (currentTileHeight / 2.0)
// compute rotated point
const rp = computeRotatedPoint(c, s, tw, 0)
// draw tiles
loadPixels()
for (let i = -3; i <= 3; i += 1) {
// compute center
const cx = width / 2 - currentTileWidth_d2
const cy = height / 2 - currentTileHeight_d2
// compute tile position
const ox = rp.x * i
const oy = rp.y * i
drawRotatedBitmap(c, s, round(cx + ox), round(cy + oy))
}
updatePixels()
angle += 0.5
}
<!DOCTYPE html>
<html lang="en">
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/p5.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/addons/p5.sound.min.js"></script>
<link rel="stylesheet" type="text/css" href="style.css">
<meta charset="utf-8" />
</head>
<body>
<main>
</main>
</body>
</html>

I have found a solution which does not use the same algorithm but use the same interpolation scheme.
Solution with a three-shear method
This solution use a three-pass shear method and the solution to fix the tiles jerkiness is to add the tile offset before the rotation and then round coordinates once everything is ready to be drawn :
/**
* Bitmap rotation + stable tiling with 3-shearing method
* The 3-shearing method is stable between -PI / 2 and PI / 2 only, that is why a flip is needed for a full rotation
*
* https://www.ocf.berkeley.edu/~fricke/projects/israel/paeth/rotation_by_shearing.html
*/
let tex = null
let tile = []
function preload() {
tile = loadImage('data:image/png;base64,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')
}
function setup() {
createCanvas(512, 512)
frameRate(12)
}
function computeRotatedPoint(c, s, x, y) {
return { x: x * c - y * s, y: x * s + y * c }
}
function _shearX(t, x, y) {
return x - y * t
}
function _shearY(s, x, y) {
return x * s + y
}
currentTileWidth = 0
currentTileHeight = 0
currentTileLookupFunction = tileLookup1
// regular lookup
function tileLookup1(x, y) {
return (x + y * tile.width) * 4
}
// flipped lookup
function tileLookup2(x, y) {
return ((tile.width - 1 - x) + (tile.height - 1 - y) * tile.width) * 4
}
// draw a rotated bitmap at offset ox,oy with cx,cy as center of rotation offset
function drawRotatedBitmap(c, s, t, ox, oy, cx, cy) {
for (let ty = 0; ty < tile.height; ty += 1) {
for (let tx = 0; tx < tile.width; tx += 1) {
// center of rotation
let scx = tile.width - tx - tile.width / 2
let scy = tile.height - ty - tile.height / 2
// this is key to a stable rotation without any jerkiness
scx += cx
scy += cy
// shear
let ux = round(_shearX(t, scx, scy))
let uy = round(_shearY(s, ux, scy))
ux = round(_shearX(t, ux, uy))
// translate again
ux = currentTileWidth_d2 - ux
uy = currentTileHeight_d2 - uy
// plot with offset
let index1 = currentTileLookupFunction(tx, ty)
let index2 = (ox + ux + (oy + uy) * width) * 4
pixels[index2 + 0] = tile.pixels[index1 + 0]
pixels[index2 + 1] = tile.pixels[index1 + 1]
pixels[index2 + 2] = tile.pixels[index1 + 2]
}
}
}
let angle = -3.141592653 / 2
function draw() {
const s = sin(angle)
const c = cos(angle)
const t = tan(angle / 2)
tile.loadPixels()
background(0)
// compute rotated tile width / height
let tw = tile.width
let th = tile.height
currentTileWidth = abs(tw * c + th * s)
currentTileHeight = abs(tw * s + th * c)
currentTileWidth_d2 = round(currentTileWidth / 2.0)
currentTileHeight_d2 = round(currentTileHeight / 2.0)
// draw tiles
loadPixels()
for (let j = -2; j <= 2; j += 1) {
for (let i = -2; i <= 2; i += 1) {
let ox = round(width / 2 - currentTileWidth_d2)
let oy = round(height / 2 - currentTileHeight_d2)
drawRotatedBitmap(c, s, t, ox, oy, i * tw, j * tw)
}
}
updatePixels()
angle += 0.025
if (angle >= PI / 2) {
angle -= PI
if (currentTileLookupFunction === tileLookup2) {
currentTileLookupFunction = tileLookup1
} else {
currentTileLookupFunction = tileLookup2
}
}
}
<!DOCTYPE html>
<html lang="en">
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/p5.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/addons/p5.sound.min.js"></script>
<link rel="stylesheet" type="text/css" href="style.css">
<meta charset="utf-8" />
</head>
<body>
<main>
</main>
</body>
</html>
I cannot say technically why it works but it is probably related to an error accumulation issue / rounding since i can reproduce the question issue completely with the three-shear method if i add the tile offset after rotation and round the offset and shear pass independently such as :
function drawRotatedBitmap(c, s, t, ox, oy, cx, cy) {
cx = round(_shearX(t, cx, cy))
cy = round(_shearY(s, cx, cy))
cx = round(_shearX(t, cx, cy))
for (let ty = 0; ty < tex.height; ty += 1) {
...
let ux = round(_shearX(t, scx, scy))
let uy = round(_shearY(s, ux, scy))
ux = round(_shearX(t, ux, uy))
...
let index2 = (cx + ux + ox + (cy + uy + oy) * width) * 4
...
}
}
The issue become clearly visible if i round the offset and the shearing result at the same time which result in missing pixels in the final image such as :
function drawRotatedBitmap(c, s, t, ox, oy, cx, cy) {
cx = _shearX(t, cx, cy)
cy = _shearY(s, cx, cy)
cx = _shearX(t, cx, cy)
for (let ty = 0; ty < tex.height; ty += 1) {
...
let ux = _shearX(t, scx, scy)
let uy = _shearY(s, ux, scy)
ux = _shearX(t, ux, uy)
...
let index2 = (round(cx + ux) + ox + (round(cy + uy) + oy) * width) * 4
...
}
}
I would still like a detailed explanation of the jerkiness behavior and to know if there is a smooth solution by adding the tile offset after the rotation, it seems that the jiggling is due to the center of rotation being off one or two pixels depending on the angle.

This is definitely a pixelization problem. Analytically (vectorial) one can't explain the jiggling. It can be minimized, e.g. by rotating around the center of the whole image the successive pixels of a line and so forth line-by-line of the whole image, but the jiggling cannot be cancelled. Ultimately, this corresponds to creating an image object and rotating it around its center!

Is there a way to remove the grid jerkiness without doing it as a single pass and keeping the same interpolation scheme ?
No
Is it a sub pixels correctness issue ?
No, it is an interpolation issue

The frameCount is a function of the frameRate (which is not a constant contrary to what we think even if we set it), the execution time of the cycling draw function and the runtime environment (canvas or the gif one). It seems that for the gif the frameCount is reset to zero after a certain cumulated count, which corresponds to a reset to the vertical position of the image.
I tried to reproduce the "jerking effect" by changing the 64 parameter in the following instruction and the frameRate, without success.
if (frameCount % 128 < 64) {
I suggest to make the rotation speed independent of the frameCount.

FWIW the WEBGL canvas will be a bit faster in getting a result your code already hints at using image() and because you're using power of 2 dimensions you could also make use of textureWrap():
// this variable will hold our shader object
let bricks;
function preload() {
bricks = loadImage(
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEAAAABACAYAAACqaXHeAAAMeHpUWHRSYXcgcHJvZmlsZSB0eXBlIGV4aWYAAHjarZhpktw6DoT/8xRzBO7LcbhGzA3m+PMBlKq77eeIN0tXuKSiKBIEkImEzf7XP4/5B38hhmhiKjW3nC1/scXmOzfV3r+h385G/da/+Dzi949x83ngGQpcw/3Z/DO+GefePb/bs4l7578LvTeuc5e+HvT+jI+f4+NZ0NdfF3osCO7ubNfzwrNQ8I9Fj+nzsSi3Wn4cbc1n5/gM1a9/MRSfU3Yl8h29LSU37qu3seDPJYaGottb8+70Dry/36kem/wOLli+Q3isDPLPh864fNtQjUxkQpcQ8p2CU8dbQokJLNzuwqfbjzO/++bLR3/4+zvHsmxy9s0J8+vKv+bN5879YfxJg0/Uan4ehJ9htflz/ctxl96F3gfhs4//vnOdn51/jK/y5L19ffQt3OesevTQnKLHjC/yc6j3KHrHvCFe1Lcyn2KzIWsrN/JpfKrtdpICy052HNw354n9cdEt191xW6/TTUyMfvvC1ftpfNDBSpCan2SE00SI7vgSWlihkh5TcygG/7HF6bZNt5uu2mXsckz1jsWcJtl/+TF/d+I5giXnbP34Cru8oAErrCP8cmEaEXHncWpSB7+fX/8kroEIJnVz5YDdDnOXGMl9JVfQQAcmJq4Xe66sZwFcxNYJY1wgAja7kFzGouJ9cQ5HVgLUMd2H6AcRcCn5hZE+hpAJDuhgb94pTqf65O8wrArVAtMcCrFpoROsGBP5U2Ilh3oKKaaUciqpppZ6DlmQl3PJQs+9hBJLKrmUUk1ppddQY00111JrbbU33wL0nRo4bbW11jubdlbuvN2Z0PvwI4w40sijjDqaGX2SPjPONPMss842+/IrLAC+8iqrrrb6dptU2nGnnXfZdbfdD6l2woknnXyKOfW00z9Re8L62+c/iJp7ouY1UjKxfKLGaCnvEk7oJEnMiJiPjoAXokbESGyJma0uRi+Rk5hRj0BF8hiZJDjLScSIYNzOp+M+sXsiZ3z//8TNlKpx8/9r5IyE7m9G7ve4/VXUllSJqRG7MBSn2gD6Zuh+1MxXOwvzGokTjw8Dm0KanWNTDswM4gpmJheTS1Ss7mufpXOK7fOeBbP6STudmOyu6/TaUjpe5/lRoIY1/TC19p0zX3jIYnfPx/eG7bIA5UfWHHXGuNrQrUpvBMfXxS+mow3kPhnxWyoONxQ5c1+hTzyUWwwt75xCS+y3wPEcu/aSfDthDQg6nhb3Fhsca5h2Mu4LJ7cdSwnIJbvYeM8xZ1i9NIfDoWExhnoAD+TriMSijUqJr/yyybgkkSFAva3ZC8nIU/UfySirEylxox99yDGJfXGhrordfsQ9sq8lDGs44NwJv+2O5WmvMCsZoDbkxuHTnHFVCcCUc7s+7LoR8VRsLBPXxWKCK5OEFdcVwkqubs4/yZVWWAZvimnY0uwNvoYPJxDKuBapGJ3HAJPvC2uyFMl0mh2rndYmBCqjBcAlx7HBWA5BDKl92QrmRnjONsLOZmARyUDmT52zc+zk96q8DigOIZ5eFpSEBBXIkG1TCQ6DkClk32jUSRZa2JZmlPfibqCQm0bpjolX5+ZVlwdDUYyts3Nm+CDr6TC7ILPIkG1i68PJwcg+9s8UTPB4d5Ml0WyjVcIxMEgzZnfOzVBhVcIomdBcNKnAJ0SH9YmaHg9vj7aw5DG0phgI2YEZur+jHAij0aOhXfgkszehYf5gN8LWWsp1T/yM1fiZS25S4NhHfLRbHp5qVZECzQo+2anHCrGd55cochyi99SFPAVWFYDHvElTEPdZClqsvdYkAZezydXkUQtIJZW7Te+onrzWDfmO3ppT9FIIkSFd3HVDj6AEB7EJ+Dvl6D6pOL3GBHirxFhxn+Abe3/hCZ8RO2qwr8OmKXHdHHOA9tAN5FglTzziSTlKqAoXnYud75FhvUF8IKWdxSOS24kUshSLZYRTJNsaQSZ8TEyZgJFm1U9CqY6CsUaSofrFdM3pd6wjSiaa7Y4ASkPYs+tBdk1tSeQ+4yX1lYg1BlKMOBcJKTvClaw9BTemdnSvJEYSqXs5Bnf0bVuDYFyqB3ynOpKUIpJFiInKkDE/VeHju5m5tMWOrlIoiJ4TY+Ilrj4KQI0f7gGzrIVSvQzDnqO4O50OEta4mJYmTF9ooWT7eR2Wgiwv4cn7saDB9CGze433PMZ+HeyaEduAz+P1govTft/l+xW+lhz1Qhk+G9AcyccsbOXEgdBGmRA9/KnUcWBOPyDMTF4hJa4hER5bSZyiGHPHAFXED8QoWQMRjFSfrS77UHQ94ZSUEJAnSiMT7sYsRWQpXGDaKKgfeySfFemUD7cJ1DxLuWvDh2tF6jXKQ4NDCpPiu+H8SVmpy8wPdmBQYIJ+yNdrCFg9RpXrndJEJuUnNqgsQULvUh+ngdJG0+ylPvBhSxSMg/QexClWQYRgbMDILVMYs5AirpthD8HsDAZWcEFAvxE8i1jd75JipKEhl4SYpGbG2Z0UKWKhJeSqAWlfYY/kTR9PhWVH8e2IYhCZsyQXOE5pc3Pki3FBMKCOEkyqplSymyZkNhBSJYIlIj5sI/MknRgjo6AbzUTlD/+m3HUOdNohHaoBEsM0qZrjVqOK36nmTlwzBOIU61SdDx+OxbH0jvQYRYiEI190piH9GhpFthaoNz2T8ARKEId0qsiE3QDuw+E9Sif4KZRzvvAyf0TAe10i2ORFirWTCD25khflpNUXSEbWVUkk3Ou6/Q2nGolc9kJajMNN1iBK6ChZMaKUyRRrJJ3GSYGMqP0IlDq5UahQZdgTvsZRoJSU2saJ5EvIwOrKDLAGAgzrRXSh/fEMdy1pyXg0uvWaKujoKzbExWN6kK3YUCeNYVr3X0pGbZbsFAXi4PJdU+iFHRA+T70XPHKA6qZVXYVjpPAY2MLJlleViVbET9MnzgCqE++dFY89z0MyYFEdTvTwLScX2aziVprjW+66VrjuIayE4q/sRNDfyrU5ZoQpQs/NQwui2bus26hhFv43SpeLekCfui/aXZWKlB+lEwrSq463BHEyhGYV+lNFsUvSWmBEt+GDJFr0B545NxsNdp974AZsziL1gUZsYYgB89FiZGo021+BrzVBpCXrBodkC6Cii/lNGKvp+KN8WI5HSL350TnF5EMWXDzQQJUgloSPQifTaLWg3jabaGJhYaC6T5anoqVG8cS0ZSO9yV77I/JgDM6x0CCXZx9vgYYsWGsflr1JQENllQHV2c57LbtAX/qOvCExDiKMKV1AovlQklJRQnl0YEOUJMIs4RNp0bIhUbuYSm+gDQzJtaSaIAfFBVokxUg3dsKncLo4RvR+V1GCpBVbKEcxCMfJXlJsRhYtxVGla+Ji+4KBvC3hSsVXV4imkHwniE5hY9R2Uhl1pLpgPol4yGEEGbEeq6eRUADaDuFmUl+fUvBqAfC8lYBIDKtkLai5izJc5DvPJlWQ2IoluAF/OKodOpAYgXF3eS6q4KY3d0SNwsAalI6pFRi2BnQOHhzu4WX8RDNWOErYZfyh7TK3+ri4eMdDeAp+myTOWOWon7DF7Ff+3QpUVjqoAw6540dSmbyhzElAyKCnB/baC9KrScv11SMGaY7qbYwfugW+0rlkSrTRIqBCrDjAA0TcQm5KP+VEEQxhpyMuUv5DH+HCoG0pOYXHSX+3oze6+7feDElZaaG/DT+9liiZQnD9fGtid1csqjOlzZJUXyJ7pdtWmR0byYhjLiYe5s35uCA8L7Qk3NskmnsMdRvKH5jyRPa/7ZN4Gye+r7XntfqyueTjINsAY1kWioNybX/K0YBIohc5KFmg+YMb12yktYgjoVtyUHokLTQue0n5/OVMo95kN7SW/CdXxItZm3uvXZxiVjqtywIglCC7IL0SCb61iNOvoI8QYjDO+CHQ+hVoTtrFV8wB+JyUt4qIp4ug29SukPs0BD1Ley1SBnUJfKko3aFsb2iGhEZlGQ6KUzqiR8qSc5z6drveG4a70EZE6NNnCcsAe9GZrhZACLESRuEOUUmPkKGVIh+rSFGshzPwkVvKuqpP54LutlDzpVnVdLsfeIQf0FVfSnf6nwf1mhztvZr3JlpZUjvuIysPabOWek8A9ghClRo7ZEEOpy1xqEP8RLFRhHJ9hSc04X7uJNdnvkvyvz0zP828+FvOSWtKy2YEiWsWf8rcdIvULpG3IHhtwSR9lZ3iB6FPF7Uxul1cz1GdrZUjbKMQZmZZbaFuSNgUyNmzmrXm3yxc9DLeW7anAAABhWlDQ1BJQ0MgcHJvZmlsZQAAeJx9kT1Iw0AcxV9bpUUqDhYRcchQHaQFURFHrUIRKoRaoVUHk0u/oElDkuLiKLgWHPxYrDq4OOvq4CoIgh8gjk5Oii5S4v+SQosYD4778e7e4+4d4G9UmGp2jQOqZhnpZELI5laF4CvCCGEAMYxJzNTnRDEFz/F1Dx9f7+I8y/vcn6NXyZsM8AnEs0w3LOIN4ulNS+e8TxxhJUkhPieOGXRB4keuyy6/cS467OeZESOTnieOEAvFDpY7mJUMlXiKOKqoGuX7sy4rnLc4q5Uaa92TvzCc11aWuU5zGEksYgkiBMiooYwKLMRp1Ugxkab9hId/yPGL5JLJVQYjxwKqUCE5fvA/+N2tWZiccJPCCaD7xbY/RoDgLtCs2/b3sW03T4DAM3Cltf3VBjDzSXq9rUWPgL5t4OK6rcl7wOUOMPikS4bkSAGa/kIBeD+jb8oB/bdAz5rbW2sfpw9AhrpK3QAHh8BokbLXPd4d6uzt3zOt/n4Aru1yvz0Dqp8AAA0aaVRYdFhNTDpjb20uYWRvYmUueG1wAAAAAAA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/Pgo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJYTVAgQ29yZSA0LjQuMC1FeGl2MiI+CiA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiCiAgICB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIKICAgIHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiCiAgICB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iCiAgICB4bWxuczpHSU1QPSJodHRwOi8vd3d3LmdpbXAub3JnL3htcC8iCiAgICB4bWxuczp0aWZmPSJodHRwOi8vbnMuYWRvYmUuY29tL3RpZmYvMS4wLyIKICAgIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyIKICAgeG1wTU06RG9jdW1lbnRJRD0iZ2ltcDpkb2NpZDpnaW1wOjNlYzk5MTljLWI0OTUtNGExMC1hNTQyLWI1NjQ4ZDc1YzcwYSIKICAgeG1wTU06SW5zdGFuY2VJRD0ieG1wLmlpZDpmMDczODg5NS1mZDBmLTRjMGUtOTRjOS0yZjA4YjZiYjVjYjEiCiAgIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0ieG1wLmRpZDoxNjkwYmU3NS02NzE1LTQwMDEtYTdkZS0xMjBjODQ3MjU3MzgiCiAgIGRjOkZvcm1hdD0iaW1hZ2UvcG5nIgogICBHSU1QOkFQST0iMi4wIgogICBHSU1QOlBsYXRmb3JtPSJMaW51eCIKICAgR0lNUDpUaW1lU3RhbXA9IjE2NzA1Mzk0OTE3Nzc3MTUiCiAgIEdJTVA6VmVyc2lvbj0iMi4xMC4zMCIKICAgdGlmZjpPcmllbnRhdGlvbj0iMSIKICAgeG1wOkNyZWF0b3JUb29sPSJHSU1QIDIuMTAiPgogICA8eG1wTU06SGlzdG9yeT4KICAgIDxyZGY6U2VxPgogICAgIDxyZGY6bGkKICAgICAgc3RFdnQ6YWN0aW9uPSJzYXZlZCIKICAgICAgc3RFdnQ6Y2hhbmdlZD0iLyIKICAgICAgc3RFdnQ6aW5zdGFuY2VJRD0ieG1wLmlpZDplMGQ2NWZlOS1lMDQ1LTRhOGItYWZmZS0xZGRjMWI0M2Q3MTciCiAgICAgIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkdpbXAgMi4xMCAoTGludXgpIgogICAgICBzdEV2dDp3aGVuPSIyMDIyLTEyLTA4VDIzOjQ0OjUxKzAxOjAwIi8+CiAgICA8L3JkZjpTZXE+CiAgIDwveG1wTU06SGlzdG9yeT4KICA8L3JkZjpEZXNjcmlwdGlvbj4KIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAKPD94cGFja2V0IGVuZD0idyI/PnF4ZZ8AAAAGYktHRAD/AP8A/6C9p5MAAAAJcEhZcwAACxMAAAsTAQCanBgAAAAHdElNRQfmDAgWLDOSx0KrAAAAGXRFWHRDb21tZW50AENyZWF0ZWQgd2l0aCBHSU1QV4EOFwAABDVJREFUeNrtmzFrFVEQhSeSwiIEIhJFEUUMQVERBFNYCGKhiJWllVjbCPojLGysLS2tREghgoVFBEFEEIkERRQNYiCksNPGr3jHPW/uJi8iZqZZdt/eve/tnDlzZu59YzevXvgZHbay+iNabGpye0RE7J2eiIiIew9fDXx++/qZiIh48vzjup6vdvTQzs55rl06HhERn5bXho5n3oU3nyMiYltscRs7dmS2EwFzh/cMHfjh62pERHz5PvyN794xMXC+f9fkwHjOQRIe4lzt5eJy07ytVghwCNgsU0T0tVF5vhDw28bxCG+W2NcYdRygsZ3dxzwOCfocxl88fbDzflifLOSygOOOQoDLs8rCsDOfc3Q2e2Cq8/qd+y8GPHF+btCzeBIjX6un3f1nT+3rnJfrb9+vDOiIQoDmfY0hzcuv330bmqcx7sMun5uJiIgTM9MRETG/sNb5fOZXpTi/sNSJGMcJTk+ABDioEOA0vfO044ZMyRF7LsadlgeZ3AcSVKm2KkkMJBYCsiqv1dPu3LF1Vq05HaHX0Q2uusyuFwLIxyurkwOeUmWVxVhrDDp90LfK5HNVlhki4KLqBygH8EbUk6r4WmMZ7Q3bqgfUHj1b2lC1p+O0puB3qD6pfkBrP0Crxv/FigNcp0bZta/nWzs/60XUqBBZCKC6gt2zPK324PHiQBbR5/XVAZotYG2eXxywWRyA4tNqLEMGdT4eylZ8XJWZKUytCltjP+OKQkCm3UGEeo5xIEC1PJ7CAyhC7TtoreFMkTaqLFEI0BjkDbu1QVcjZHmeHqAa84AAagjV9HSTN6o7CgEOAcq2rabr/qzgaHfW1flZTLeyfbbi5DihEKA9N2Lb6QHNCjqeul5Z3/X2Rm0OMaUDNtoP+Fds1H2J4gB9o8qi2tPD3CqsVnPUENoL5DpZhBUfTKvKP5Vo914jOEznhbt0nkKA++DGlZOdnuNNav5Xw3Pc56pKkIRnFIHaxdWdHtzv1iKZj6OOLwQQO7wRF/PZvoGs7ueco8aqruyoQnV7fPT7qgLlHKShVGuHCAjgDbdWU+oJ2DpbhVWk4BnXaXI1hH5PN2/WX6gsAAJgZ1iY/OqMmOM+5wHtEjtEaJbRvK77F521erwQoAhQdndVmyo/p/R4HrEKZ7idpGSFTNu7DhRsrr1H17fQjlNVg1oNZtnA7eXN6m+39vi3q7/igKwabN2bM6q6Xp+70f8TuPHVEXIIoOpz9XxmsL7T6tr3Vx2QrT26bKP/GtNaQles1G7dfVoIiIgYd3W9ru+rh/AE+oCjruBo/gYBenRdaIcE17niedqHqCzQtyOkHnHr+lpvOzbXzk4rtzhE6P8PtSZRhPG9VdEWAvr+h1fvdxodJKgn3W7y7HsoAlSBuue68YWAjAP6GiytypI3rzHZ17SnqL29iOkmTlH9sOUR8AvuXvZlpzhIWwAAAABJRU5ErkJggg=="
);
}
function setup() {
// use WEBGL renderer,
createCanvas(512, 512, WEBGL);
// if helps the sketch dimensions are a power of 2 so textureWrap() can be used
textureWrap(REPEAT);
noStroke();
}
function draw() {
background(0);
// full 7 block width and height
const w = 64 * 7;
const h = 64;
// half the dimensions to rotate from center
const hw = int(w / 2);
const hh = int(h / 2);
rotate(frameCount * 0.03);
texture(bricks);
// vertex( x, y, u, v ) (by default u,v are in pixel coordinates)
// otherwise use textMode(NORMAL); in setup()
beginShape();
vertex(-hw, -hh, -hw, -hh); //TL
vertex(+hw, -hh, +hw, -hh); //TR
vertex(+hw, +hh, +hw, +hh); //BR
vertex(-hw, +hh, -hw, +hh); //BL
endShape();
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/p5.min.js"></script>
An overcomplicated version of the above is to use a shader for rotation which can produce interesting results:
It seems you're more interested in working out a custom rotation algorithms that produces less artefacts.
If so, you might also want to look at a RotSprite.
Doing a quick search I see implementations such as this shader one or this js one.

Related

2D Circular search pattern

I need an algorithm to give me coordinates to the nearest cells (in order of distance) to another cell in a 2D grid. Its for a search algorithm that then checks those coordinates for all sorts of things for suitability. Anyways, so far I came up with this:
function testy(cx, cy, idx) {
var radius = Math.floor(Math.sqrt(idx / Math.PI));
var segment = Math.round(idx - (radius * Math.PI));
var angle = segment / radius;
var x = Math.round(cx + radius * Math.cos(angle));
var y = Math.round(cy + radius * Math.sin(angle));
return [x, y];
}
addEventListener("load", function() {
var canv = document.createElement("canvas");
document.body.appendChild(canv);
canv.width = 800;
canv.height = 600;
var ctx = canv.getContext("2d");
var scale = 5;
var idx = 0;
var idx_end = 10000;
var func = function() {
var xy = testy(0,0,idx++);
var x = xy[0] * scale + canv.width / 2;
var y = xy[1] * scale + canv.height / 2;
ctx.rect(x, y, scale, scale);
ctx.fill();
if (idx < idx_end) setTimeout(func, 0);
}
func();
});
but as you can tell, its kinda crap because it skips some cells. There's a few assumptions I'm making there:
That the circumference of a circle of a certain radius corresponds to the number of cells on the path of that circle. I didn't think that would be too great of a problem though since the actual number of cells in a radius should be lower than the circumference leading to duplication(which in small amounts is ok) but not exclusion(not ok).
That the radius of a circle by the n-th index specified would be slightly more than Math.floor(Math.sqrt(idx / Math.PI)) because each increase of 1 to the radius corresponds to 2 * Math.PI being added to the circumference of the circle. Again, should lead to slight duplication but no exclusion.
Other than that I have no idea what could be wrong with it, I fail at math any more complex than this so probably something to do with that.
Perhaps there is another algorithm like this already out there though? One that doesn't skip cells? Language doesn't really matter, I'm using js to prototype it but it can be whatever.
Instead of thinking about the full circle, think about a quadrant. Adapting that to the full circle later should be fairly easy. Use (0,0) as the center of the circle for convenience. So you want to list grid cells with x,y ≥ 0 in order of non-decreasing x² + y².
One useful data structure is a priority queue. It can be used to keep track of the next y value for every x value, and you can extract the one with minimal x² + y² easily.
q = empty priority queue, for easy access to element with minimal x²+y²
Insert (0,0) into queue
while queue is not empty:
remove minimal element from queue and call it (x,y)
insert (x,y+1) into queue unless y+1 is off canvas
if y = 0:
insert (x+1,0) into queue unless x+1 is off canvas
do whatever you want to do with (x,y)
So for a canvas of size n this will enumerate all the n² points, but the priority queue will only contain n elements at most. The whole loop runs in O(n² log(n)). And if you abort the loop eraly because you found what you were looking for, it gets cheaper still, in contrast to simply sorting all the points. Another benefit is that you can use integer arithmetic exclusively, so numeric errors won't be an issue. One drawback is that JavaScript does not come with a priority queue out of the box, but I'm sure you can find an implementation you can reuse, e.g. tiniqueue.
When doing full circle, you'd generate (−x,y) unless x=0, and likewise for (x,−y) and (−x,−y). You could exploit symmetry a bit more by only having the loop over ⅛ of the circle, i.e. not inserting (x,y+1) if x=y, and then also generating (y,x) as a separate point unless x=y. Difference in performance should be marginal for many use cases.
"use strict";
function distCompare(a, b) {
const a2 = a.x*a.x + a.y*a.y;
const b2 = b.x*b.x + b.y*b.y;
return a2 < b2 ? -1 : a2 > b2 ? 1 : 0;
}
// Yields points in the range -w <= x <= w and -h <= y <= h
function* aroundOrigin(w,h) {
const q = TinyQueue([{x:0, y:0}], distCompare);
while (q.length) {
const p = q.pop();
yield p;
if (p.x) yield {x:-p.x, y:p.y};
if (p.y) yield {x:p.x, y:-p.y};
if (p.x && p.y) yield {x:-p.x, y:-p.y};
if (p.y < h) q.push({x:p.x, y:p.y+1});
if (p.y == 0 && p.x < w) q.push({x:p.x + 1, y:0});
}
}
// Yields points around (cx,cy) in range 0 <= x < w and 0 <= y < h
function* withOffset(cx, cy, w, h) {
const delegate = aroundOrigin(
Math.max(cx, w - cx - 1), Math.max(cy, h - cy - 1));
for(let p of delegate) {
p = {x: p.x + cx, y: p.y + cy};
if (p.x >= 0 && p.x < w && p.y >= 0 && p.y < h) yield p;
}
}
addEventListener("load", function() {
const canv = document.createElement("canvas");
document.body.appendChild(canv);
const cw = 800, ch = 600;
canv.width = cw;
canv.height = ch;
const ctx = canv.getContext("2d");
const scale = 5;
const w = Math.ceil(cw / scale);
const h = Math.ceil(ch / scale);
const cx = w >> 1, cy = h >> 1;
const pointgen = withOffset(cx, cy, w, h);
let cntr = 0;
var func = function() {
const {value, done} = pointgen.next();
if (done) return;
if (cntr++ % 16 === 0) {
// lighten older parts so that recent activity is more visible
ctx.fillStyle = "rgba(255,255,255,0.01)";
ctx.fillRect(0, 0, cw, ch);
ctx.fillStyle = "rgb(0,0,0)";
}
ctx.fillRect(value.x * scale, value.y*scale, scale, scale);
setTimeout(func, 0);
}
func();
});
<script type="text/javascript">module={};</script>
<script src="https://cdn.rawgit.com/mourner/tinyqueue/54dc3eb1/index.js"></script>

Binary Image "Lines-of-Sight" Edge Detection

Consider this binary image:
A normal edge detection algorithm (Like Canny) takes the binary image as input and results into the contour shown in red. I need another algorithm that takes a point "P" as a second piece of input data. "P" is the black point in the previous image. This algorithm should result into the blue contour. The blue contours represents the point "P" lines-of-sight edge of the binary image.
I searched a lot of an image processing algorithm that achieve this, but didn't find any. I also tried to think about a new one, but I still have a lot of difficulties.
Since you've got a bitmap, you could use a bitmap algorithm.
Here's a working example (in JSFiddle or see below). (Firefox, Chrome, but not IE)
Pseudocode:
// part 1: occlusion
mark all pixels as 'outside'
for each pixel on the edge of the image
draw a line from the source pixel to the edge pixel and
for each pixel on the line starting from the source and ending with the edge
if the pixel is gray mark it as 'inside'
otherwise stop drawing this line
// part 2: edge finding
for each pixel in the image
if pixel is not marked 'inside' skip this pixel
if pixel has a neighbor that is outside mark this pixel 'edge'
// part 3: draw the edges
highlight all the edges
At first this sounds pretty terrible... But really, it's O(p) where p is the number of pixels in your image.
Full code here, works best full page:
var c = document.getElementById('c');
c.width = c.height = 500;
var x = c.getContext("2d");
//////////// Draw some "interesting" stuff ////////////
function DrawScene() {
x.beginPath();
x.rect(0, 0, c.width, c.height);
x.fillStyle = '#fff';
x.fill();
x.beginPath();
x.rect(c.width * 0.1, c.height * 0.1, c.width * 0.8, c.height * 0.8);
x.fillStyle = '#000';
x.fill();
x.beginPath();
x.rect(c.width * 0.25, c.height * 0.02 , c.width * 0.5, c.height * 0.05);
x.fillStyle = '#000';
x.fill();
x.beginPath();
x.rect(c.width * 0.3, c.height * 0.2, c.width * 0.03, c.height * 0.4);
x.fillStyle = '#fff';
x.fill();
x.beginPath();
var maxAng = 2.0;
function sc(t) { return t * 0.3 + 0.5; }
function sc2(t) { return t * 0.35 + 0.5; }
for (var i = 0; i < maxAng; i += 0.1)
x.lineTo(sc(Math.cos(i)) * c.width, sc(Math.sin(i)) * c.height);
for (var i = maxAng; i >= 0; i -= 0.1)
x.lineTo(sc2(Math.cos(i)) * c.width, sc2(Math.sin(i)) * c.height);
x.closePath();
x.fill();
x.beginPath();
x.moveTo(0.2 * c.width, 0.03 * c.height);
x.lineTo(c.width * 0.9, c.height * 0.8);
x.lineTo(c.width * 0.8, c.height * 0.8);
x.lineTo(c.width * 0.1, 0.03 * c.height);
x.closePath();
x.fillStyle = '#000';
x.fill();
}
//////////// Pick a point to start our operations: ////////////
var v_x = Math.round(c.width * 0.5);
var v_y = Math.round(c.height * 0.5);
function Update() {
if (navigator.appName == 'Microsoft Internet Explorer'
|| !!(navigator.userAgent.match(/Trident/)
|| navigator.userAgent.match(/rv 11/))
|| $.browser.msie == 1)
{
document.getElementById("d").innerHTML = "Does not work in IE.";
return;
}
DrawScene();
//////////// Make our image binary (white and gray) ////////////
var id = x.getImageData(0, 0, c.width, c.height);
for (var i = 0; i < id.width * id.height * 4; i += 4) {
id.data[i + 0] = id.data[i + 0] > 128 ? 255 : 64;
id.data[i + 1] = id.data[i + 1] > 128 ? 255 : 64;
id.data[i + 2] = id.data[i + 2] > 128 ? 255 : 64;
}
// Adapted from http://rosettacode.org/wiki/Bitmap/Bresenham's_line_algorithm#JavaScript
function line(x1, y1) {
var x0 = v_x;
var y0 = v_y;
var dx = Math.abs(x1 - x0), sx = x0 < x1 ? 1 : -1;
var dy = Math.abs(y1 - y0), sy = y0 < y1 ? 1 : -1;
var err = (dx>dy ? dx : -dy)/2;
while (true) {
var d = (y0 * c.height + x0) * 4;
if (id.data[d] === 255) break;
id.data[d] = 128;
id.data[d + 1] = 128;
id.data[d + 2] = 128;
if (x0 === x1 && y0 === y1) break;
var e2 = err;
if (e2 > -dx) { err -= dy; x0 += sx; }
if (e2 < dy) { err += dx; y0 += sy; }
}
}
for (var i = 0; i < c.width; i++) line(i, 0);
for (var i = 0; i < c.width; i++) line(i, c.height - 1);
for (var i = 0; i < c.height; i++) line(0, i);
for (var i = 0; i < c.height; i++) line(c.width - 1, i);
// Outline-finding algorithm
function gb(x, y) {
var v = id.data[(y * id.height + x) * 4];
return v !== 128 && v !== 0;
}
for (var y = 0; y < id.height; y++) {
var py = Math.max(y - 1, 0);
var ny = Math.min(y + 1, id.height - 1);
console.log(y);
for (var z = 0; z < id.width; z++) {
var d = (y * id.height + z) * 4;
if (id.data[d] !== 128) continue;
var pz = Math.max(z - 1, 0);
var nz = Math.min(z + 1, id.width - 1);
if (gb(pz, py) || gb(z, py) || gb(nz, py) ||
gb(pz, y) || gb(z, y) || gb(nz, y) ||
gb(pz, ny) || gb(z, ny) || gb(nz, ny)) {
id.data[d + 0] = 0;
id.data[d + 1] = 0;
id.data[d + 2] = 255;
}
}
}
x.putImageData(id, 0, 0);
// Draw the starting point
x.beginPath();
x.arc(v_x, v_y, c.width * 0.01, 0, 2 * Math.PI, false);
x.fillStyle = '#800';
x.fill();
}
Update();
c.addEventListener('click', function(evt) {
var x = evt.pageX - c.offsetLeft,
y = evt.pageY - c.offsetTop;
v_x = x;
v_y = y;
Update();
}, false);
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.2.3/jquery.min.js"></script>
<center><div id="d">Click on image to change point</div>
<canvas id="c"></canvas></center>
I would just estimate P's line of sight contour with ray collisions.
RESOLUTION = PI / 720;
For rad = 0 To PI * 2 Step RESOLUTION
ray = CreateRay(P, rad)
hits = Intersect(ray, contours)
If Len(hits) > 0
Add(hits[0], lineOfSightContour)
https://en.wikipedia.org/wiki/Hidden_surface_determination with e.g. a Z-Buffer is relatively easy. Edge detection looks a lot trickier and probably needs a bit of tuning. Why not take an existing edge detection algorithm from a library that somebody else has tuned, and then stick in some Z-buffering code to compute the blue contour from the red?
First approach
Main idea
Run an edge detection algorithm (Canny should do it just fine).
For each contour point C compute the triplet (slope, dir, dist), where:
slope is the slope of the line that passes through P and C
dir is a bit which is set if C is to the right of P (on the x axis) and reset if it is to the left; it used in order to distinguish in between points having the same slope, but on opposite sides of P
dist is the distance in between P and C.
Classify the set of contour points such that a class contains the points with the same key (slope, dir) and keep the one point from each such class having the minimum dist. Let S be the set of these closest points.
Sort S in clockwise order.
Iterate once more through the sorted set and, whenever two consecutive points are too far apart, draw a segment in between them, otherwise just draw the points.
Notes
You do not really need to compute the real distance in between P and C since you only use dist to determine the closest point to P at step 3. Instead you can keep C.x - P.x in dist. This piece of information should also tell you which of two points with the same slope is closest to P. Also, C.x - P.x swallows the dir parameter (in the sign bit). So you do not really need dir either.
The classification in step 3 can ideally be done by hashing (thus, in linear number of steps), but since doubles/floats are subject to rounding, you might need to allow small errors to occur by rounding the values of the slopes.
Second approach
Main idea
You can perform a sort of BFS starting from P, like when trying to determine the country/zone that P resides in. For each pixel, look at the pixels around it that were already visited by BFS (called neighbors). Depending on the distribution of the neighbor pixels that are in the line of sight, determine if the currently visited pixel is in the line of sight too or not. You can probably apply a sort of convolution operator on the neighbor pixels (like with any other filter). Also, you do not really need to decide right away if a pixel is for sure in the line of sight. You could instead compute some probability of that to be true.
Notes
Due to the fact that your graph is a 2D image, BFS should be pretty fast (since the number of edges is linear in the number of vertices).
This second approach eliminates the need to run an edge detection algorithm. Also, if the country/zone P resides in is considerably smaller than the image the overall performance should be better than running an edge detection algorithm solely.

circle rotated rectangle collision detection

I am trying to implement the collision detection between rotated rectangle and circle by following this http://www.migapro.com/circle-and-rotated-rectangle-collision-detection/
I have added the code in jsfiddle here http://jsfiddle.net/Z6KSX/2/.
What am i missing here ?
function check_coll ( circle_x,circle_y, rect_x, rect_y, rect_width, rect_height, rect_angle)
{
// Rotate circle's center point back
var rect_centerX = rect_x /2 ;
var rect_centerY = rect_y /2 ;
var cx = (Math.cos(rect_angle) * (circle_x - rect_centerX)) - (Math.sin(rect_angle) * (circle_y - rect_centerY)) + rect_centerX;
var cy = (Math.sin(rect_angle) * (circle_x - rect_centerX)) + (Math.cos(rect_angle) * (circle_y - rect_centerY)) + rect_centerY;
// Closest point
var x, y;
// Find the unrotated closest x point from center of unrotated circle
if (cx < rect_x) {
x = rect_x;
}
else if (cx > rect_x + rect_width){
x = rect_x + rect_width;
}
else{
x = cx;
}
// Find the unrotated closest y point from center of unrotated circle
if (cy < rect_y){
y = rect_y;
}
else if (cy > rect_y + rect_height) {
y = rect_y + rect_height;
}
else {
y = cy;
}
// Determine collision
var collision = false;
var c_radius = 5;
var distance = findDistance(cx, cy, x, y);
if (distance < c_radius) {
collision = true; // Collision
}
else {
collision = false;
}
return collision;
}
function findDistance (x1, y1, x2, y2) {
var a = Math.abs(x1 - x2);
var b = Math.abs(y1 - y2);
var c = Math.sqrt((a * a) + (b * b));
return c;
}
Hehe, I find this amusing as I somewhat recently solved this for myself after spending a large amount of time going down the wrong path.
Eventually I figured out a way:
1.) Simply rotate the point of the center of the circle by the Negative amount the rectangle has been rotated by. Now the point is 'aligned' with the rectangle (in the rectangles relative coordinate space).
2.) Solve for circle vs. AABB. The way I solved it gave me a point on the rectangle that is closest to the circle's center.
3.) Rotate the resulting point from by the Positive amount the rectangle has been rotated by. Continue solving as usual (checking if the distance between that point and the circle center is within the circle's radius)
From a very quick glance at your code, it seems like maybe you are doing the same thing, but missing the last step? I suggest drawing out your point on the rectangle from step 2 to see exactly where it is to help debug.
I was able to figure this out . The issue in the code was, I was using the wrong radius and had missed the center of rect_x and rect_y
var rect_centerX = rect_x + (rect_width / 2);
var rect_centerY = rect_y + (rect_height /2);
When dealing with rotation on the canvas we will need to add the translate values to the corresponding x and y values used in createrect.
I also use this code for my project and it's working. The only thing you need to do is use -angle instead of the angle.
Here is my code link
const canvas = document.getElementById("canvas");
const ctx = canvas.getContext("2d");
const rectX = 100;
const rectY = 100;
const rectWidth = 200;
const rectHeight = 100;
const circleRadius = 2;
const rectMidPointX = rectX + rectWidth / 2;
const rectMidPointY = rectY + rectHeight / 2;
const angle = Math.PI / 4;
let circleX;
let circleY;
canvas.addEventListener('mousemove', (e) => {
circleX = e.clientX;
circleY = e.clientY;
ctx.save();
ctx.beginPath();
ctx.fillStyle = '#fff';
ctx.arc(circleX, circleY, circleRadius, 0, 2 * Math.PI);
ctx.fill();
ctx.stroke();
ctx.restore();
calculateIntersection();
})
ctx.save();
//ctx.fillRect(100, 100, 100, 100);
ctx.strokeStyle = 'black';
ctx.translate(rectMidPointX, rectMidPointY);
ctx.rotate(angle);
ctx.translate(-rectMidPointX, -rectMidPointY);
ctx.strokeRect(rectX, rectY, rectWidth, rectHeight);
ctx.restore();
// Determine collision
let collision = false;
const findDistance = (fromX, fromY, toX, toY) => {
const a = Math.abs(fromX - toX);
const b = Math.abs(fromY - toY);
return Math.sqrt((a * a) + (b * b));
};
function calculateIntersection() {
// Rotate circle's center point back
const unrotatedCircleX = Math.cos(-angle) * (circleX - rectMidPointX) -
Math.sin(-angle) * (circleY - rectMidPointY) + rectMidPointX;
const unrotatedCircleY = Math.sin(-angle) * (circleX - rectMidPointX) +
Math.cos(-angle) * (circleY - rectMidPointY) + rectMidPointY;
// Closest point in the rectangle to the center of circle rotated backwards(unrotated)
let closestX, closestY;
// Find the unrotated closest x point from center of unrotated circle
if (unrotatedCircleX < rectX)
closestX = rectX;
else if (unrotatedCircleX > rectX + rectWidth)
closestX = rectX + rectWidth;
else
closestX = unrotatedCircleX;
// Find the unrotated closest y point from center of unrotated circle
if (unrotatedCircleY < rectY)
closestY = rectY;
else if (unrotatedCircleY > rectY + rectHeight)
closestY = rectY + rectHeight;
else
closestY = unrotatedCircleY;
const distance = findDistance(unrotatedCircleX, unrotatedCircleY, closestX, closestY);
if (distance < circleRadius)
collision = true; // Collision
else
collision = false;
console.log('collision', collision);
}
<canvas id="canvas" width="400px" height="400px" />

How to calculate the coordinates of a arrowhead based on the arrow?

I have a line that is based on two (x,y) coordinates I know. This line has a starting and an end point. Now I want to add an arrowhead at the end point of the line.
I know that the arrow is an equilateral triangle, and therefore each angle has 60 degrees. Additionally, I know the length of one side, which will be 20. I also no one edge of the triangle (that is the end point of the line).
How can I calculate the other two points of the triangle? I know I should use some trigonometry but how?
P.s. The endpoint of the line should be the arrowhead's tip.
You don't need trig., just some vector arithmetic...
Say the line goes from A to B, with the front vertex of the arrowhead at B. The length of the arrowhead is h = 10(√3) and its half-width is w = 10. We'll denote the unit vector from A to B as U = (B - A)/|B - A| (i.e., the difference divided by the length of the difference), and the unit vector perpendicular to this as V = [-Uy, Ux].
From these quantities, you can calculate the two rear vertices of the arrowhead as B - hU ± wV.
In C++:
struct vec { float x, y; /* … */ };
void arrowhead(vec A, vec B, vec& v1, vec& v2) {
float h = 10*sqrtf(3), w = 10;
vec U = (B - A)/(B - A).length();
vec V = vec(-U.y, U.x);
v1 = B - h*U + w*V;
v2 = B - h*U - w*V;
}
If you want to specify different angles, then you will need some trig. to calculate different values of h and w. Assuming you want an arrowhead of length h and tip-angle θ, then w = h tan(θ/2). In practice, however, it's simplest to specify h and w directly.
Here's a sample LINQPad program that shows how to do that:
void Main()
{
const int imageWidth = 512;
Bitmap b = new Bitmap(imageWidth , imageWidth , PixelFormat.Format24bppRgb);
Random r = new Random();
for (int index = 0; index < 10; index++)
{
Point fromPoint = new Point(0, 0);
Point toPoint = new Point(0, 0);
// Ensure we actually have a line
while (fromPoint == toPoint)
{
fromPoint = new Point(r.Next(imageWidth ), r.Next(imageWidth ));
toPoint = new Point(r.Next(imageWidth ), r.Next(imageWidth ));
}
// dx,dy = arrow line vector
var dx = toPoint.X - fromPoint.X;
var dy = toPoint.Y - fromPoint.Y;
// normalize
var length = Math.Sqrt(dx * dx + dy * dy);
var unitDx = dx / length;
var unitDy = dy / length;
// increase this to get a larger arrow head
const int arrowHeadBoxSize = 10;
var arrowPoint1 = new Point(
Convert.ToInt32(toPoint.X - unitDx * arrowHeadBoxSize - unitDy * arrowHeadBoxSize),
Convert.ToInt32(toPoint.Y - unitDy * arrowHeadBoxSize + unitDx * arrowHeadBoxSize));
var arrowPoint2 = new Point(
Convert.ToInt32(toPoint.X - unitDx * arrowHeadBoxSize + unitDy * arrowHeadBoxSize),
Convert.ToInt32(toPoint.Y - unitDy * arrowHeadBoxSize - unitDx * arrowHeadBoxSize));
using (Graphics g = Graphics.FromImage(b))
{
if (index == 0)
g.Clear(Color.White);
g.DrawLine(Pens.Black, fromPoint, toPoint);
g.DrawLine(Pens.Black, toPoint, arrowPoint1);
g.DrawLine(Pens.Black, toPoint, arrowPoint2);
}
}
using (var stream = new MemoryStream())
{
b.Save(stream, ImageFormat.Png);
Util.Image(stream.ToArray()).Dump();
}
}
Basically, you:
Calculate the vector of the arrow line
Normalize the vector, ie. making its length 1
Calculate the ends of the arrow heads by going:
First back from the head a certain distance
Then perpendicular out from the line a certain distance
Note that if you want the arrow head lines to have a different angle than 45 degrees, you'll have to use a different method.
The program above will draw 10 random arrows each time, here's an example:
Let's your line is (x0,y0)-(x1,y1)
Backward direction vector (dx, dy) = (x0-x1, y0-y1)
It's norm Norm = Sqrt(dx*dx+dy*dy)
Normalize it: (udx, udy) = (dx/Norm, dy/Norm)
Rotate by angles Pi/6 and -Pi/6
ax = udx * Sqrt(3)/2 - udy * 1/2
ay = udx * 1/2 + udy * Sqrt(3)/2
bx = udx * Sqrt(3)/2 + udy * 1/2
by = - udx * 1/2 + udy * Sqrt(3)/2
Your points: (x1 + 20 * ax, y1 + 20 * ay) and (x1 + 20 * bx, y1 + 20 * by)
I want to contribute my answer in C# based on Marcelo Cantos' answer since the algorithm works really well. I wrote a program to calculate the centroid of a laser beam projected on the CCD array. After the centroid is found, the direction angle line is drawn and I need the arrow head pointing at that direction. Since the angle is calculated, the arrow head would have to follow the angle in any of the direction.
This code gives you the flexibility of changing the arrow head size as shown in the pictures.
First you need the vector struct with all the necessary operators overloading.
private struct vec
{
public float x;
public float y;
public vec(float x, float y)
{
this.x = x;
this.y = y;
}
public static vec operator -(vec v1, vec v2)
{
return new vec(v1.x - v2.x, v1.y - v2.y);
}
public static vec operator +(vec v1, vec v2)
{
return new vec(v1.x + v2.x, v1.y + v2.y);
}
public static vec operator /(vec v1, float number)
{
return new vec(v1.x / number, v1.y / number);
}
public static vec operator *(vec v1, float number)
{
return new vec(v1.x * number, v1.y * number);
}
public static vec operator *(float number, vec v1)
{
return new vec(v1.x * number, v1.y * number);
}
public float length()
{
double distance;
distance = (this.x * this.x) + (this.y * this.y);
return (float)Math.Sqrt(distance);
}
}
Then you can use the same code given by Marcelo Cantos, but I made the length and half_width of the arrow head variables so that you can define that when calling the function.
private void arrowhead(float length, float half_width,
vec A, vec B, ref vec v1, ref vec v2)
{
float h = length * (float)Math.Sqrt(3);
float w = half_width;
vec U = (B - A) / (B - A).length();
vec V = new vec(-U.y, U.x);
v1 = B - h * U + w * V;
v2 = B - h * U - w * V;
}
Now you can call the function like this:
vec leftArrowHead = new vec();
vec rightArrowHead = new vec();
arrowhead(20, 10, new vec(circle_center_x, circle_center_y),
new vec(x_centroid_pixel, y_centroid_pixel),
ref leftArrowHead, ref rightArrowHead);
In my code, the circle center is the first vector location (arrow butt), and the centroid_pixel is the second vector location (arrow head).
I draw the arrow head by storing the vector values in the points for graphics.DrawPolygon() function in the System.Drawings. Code is shown below:
Point[] ppts = new Point[3];
ppts[0] = new Point((int)leftArrowHead.x, (int)leftArrowHead.y);
ppts[1] = new Point(x_cm_pixel,y_cm_pixel);
ppts[2] = new Point((int)rightArrowHead.x, (int)rightArrowHead.y);
g2.DrawPolygon(p, ppts);
You can find angle of line.
Vector ox = Vector(1,0);
Vector line_direction = Vector(line_begin.x - line_end.x, line_begin.y - line_end.y);
line_direction.normalize();
float angle = acos(ox.x * line_direction.x + line_direction.y * ox.y);
Then use this function to all 3 points using found angle.
Point rotate(Point point, float angle)
{
Point rotated_point;
rotated_point.x = point.x * cos(angle) - point.y * sin(angle);
rotated_point.y = point.x * sin(angle) + point.y * cos(angle);
return rotated_point;
}
Assuming that upper point of arrow's head is line's end it will perfectly rotated and fit to line.
Didn't test it =(
For anyone that is interested, #TomP was wondering about a js version, so here is a javascript version that I made. It is based off of #Patratacus and #Marcelo Cantos answers. Javascript doesn't support operator overloading, so it isn't as clean looking as C++ or other languages. Feel free to offer improvements.
I am using Class.js to create classes.
Vector = Class.extend({
NAME: "Vector",
init: function(x, y)
{
this.x = x;
this.y = y;
},
subtract: function(v1)
{
return new Vector(this.x - v1.x, this.y - v1.y);
},
add: function(v1)
{
return new Vector(this.x + v1.x, this.y + v1.y);
},
divide: function(number)
{
return new Vector(this.x / number, this.y / number);
},
multiply: function(number)
{
return new Vector(this.x * number, this.y * number);
},
length: function()
{
var distance;
distance = (this.x * this.x) + (this.y * this.y);
return Math.sqrt(distance);
}
});
And then a function to do the logic:
var getArrowhead = function(A, B)
{
var h = 10 * Math.sqrt(3);
var w = 5;
var v1 = B.subtract(A);
var length = v1.length();
var U = v1.divide(length);
var V = new Vector(-U.y, U.x);
var r1 = B.subtract(U.multiply(h)).add(V.multiply(w));
var r2 = B.subtract(U.multiply(h)).subtract(V.multiply(w));
return [r1,r2];
}
And call the function like this:
var A = new Vector(start.x,start.y);
var B = new Vector(end.x,end.y);
var vec = getArrowhead(A,B);
console.log(vec[0]);
console.log(vec[1]);
I know the OP didn't ask for any specific language, but I came across this looking for a JS implementation, so I thought I would post the result.

Calculate largest inscribed rectangle in a rotated rectangle

I'm trying to find the best way to calculate the biggest (in area) rectangle which can be contained inside a rotated rectangle.
Some pictures should help (I hope) in visualizing what I mean:
The width and height of the input rectangle is given and so is the angle to rotate it. The output rectangle is not rotated or skewed.
I'm going down the longwinded route which I'm not even sure if it will handle the corner cases (no pun intended). I'm certain there is an elegant solution to this. Any tips?
EDIT: The output rectangle points don't necessarily have to touch the input rectangles edges. (Thanks to Mr E)
I just came here looking for the same answer. After shuddering at the thought of so much math involved, I thought I would resort to a semi-educated guess. Doodling a bit I came to the (intuitive and probably not entirely exact) conclusion that the largest rectangle is proportional to the outer resulting rectangle, and its two opposing corners lie at the intersection of the diagonals of the outer rectangle with the longest side of the rotated rectangle. For squares, any of the diagonals and sides would do... I guess I am happy enough with this and will now start brushing the cobwebs off my rusty trig skills (pathetic, I know).
Minor update... Managed to do some trig calculations. This is for the case when the Height of the image is larger than the Width.
Update. Got the whole thing working. Here is some js code. It is connected to a larger program, and most variables are outside the scope of the functions, and are modified directly from within the functions. I know this is not good, but I am using this in an isolated situation, where there will be no confusion with other scripts: redacted
I took the liberty of cleaning the code and extracting it to a function:
function getCropCoordinates(angleInRadians, imageDimensions) {
var ang = angleInRadians;
var img = imageDimensions;
var quadrant = Math.floor(ang / (Math.PI / 2)) & 3;
var sign_alpha = (quadrant & 1) === 0 ? ang : Math.PI - ang;
var alpha = (sign_alpha % Math.PI + Math.PI) % Math.PI;
var bb = {
w: img.w * Math.cos(alpha) + img.h * Math.sin(alpha),
h: img.w * Math.sin(alpha) + img.h * Math.cos(alpha)
};
var gamma = img.w < img.h ? Math.atan2(bb.w, bb.h) : Math.atan2(bb.h, bb.w);
var delta = Math.PI - alpha - gamma;
var length = img.w < img.h ? img.h : img.w;
var d = length * Math.cos(alpha);
var a = d * Math.sin(alpha) / Math.sin(delta);
var y = a * Math.cos(gamma);
var x = y * Math.tan(gamma);
return {
x: x,
y: y,
w: bb.w - 2 * x,
h: bb.h - 2 * y
};
}
I encountered some problems with the gamma-calculation, and modified it to take into account in which direction the original box is the longest.
-- Magnus Hoff
Trying not to break tradition putting the solution of the problem as a picture:)
Edit:
Third equations is wrong. The correct one is:
3.w * cos(α) * X + w * sin(α) * Y - w * w * sin(α) * cos(α) - w * h = 0
To solve the system of linear equations you can use Cramer rule, or Gauss method.
First, we take care of the trivial case where the angle is zero or a multiple of pi/2. Then the largest rectangle is the same as the original rectangle.
In general, the inner rectangle will have 3 points on the boundaries of the outer rectangle. If it does not, then it can be moved so that one vertex will be on the bottom, and one vertex will be on the left. You can then enlarge the inner rectangle until one of the two remaining vertices hits a boundary.
We call the sides of the outer rectangle R1 and R2. Without loss of generality, we can assume that R1 <= R2. If we call the sides of the inner rectangle H and W, then we have that
H cos a + W sin a <= R1
H sin a + W cos a <= R2
Since we have at least 3 points on the boundaries, at least one of these inequality must actually be an equality. Let's use the first one. It is easy to see that:
W = (R1 - H cos a) / sin a
and so the area is
A = H W = H (R1 - H cos a) / sin a
We can take the derivative wrt. H and require it to equal 0:
dA/dH = ((R1 - H cos a) - H cos a) / sin a
Solving for H and using the expression for W above, we find that:
H = R1 / (2 cos a)
W = R1 / (2 sin a)
Substituting this in the second inequality becomes, after some manipulation,
R1 (tan a + 1/tan a) / 2 <= R2
The factor on the left-hand side is always at least 1. If the inequality is satisfied, then we have the solution. If it isn't satisfied, then the solution is the one that satisfies both inequalities as equalities. In other words: it is the rectangle which touches all four sides of the outer rectangle. This is a linear system with 2 unknowns which is readily solved:
H = (R2 cos a - R1 sin a) / cos 2a
W = (R1 cos a - R2 sin a) / cos 2a
In terms of the original coordinates, we get:
x1 = x4 = W sin a cos a
y1 = y2 = R2 sin a - W sin^2 a
x2 = x3 = x1 + H
y3 = y4 = y2 + W
Edit: My Mathematica answer below is wrong - I was solving a slightly different problem than what I think you are really asking.
To solve the problem you are really asking, I would use the following algorithm(s):
On the Maximum Empty Rectangle Problem
Using this algorithm, denote a finite amount of points that form the boundary of the rotated rectangle (perhaps a 100 or so, and make sure to include the corners) - these would be the set S decribed in the paper.
.
.
.
.
.
For posterity's sake I have left my original post below:
The inside rectangle with the largest area will always be the rectangle where the lower mid corner of the rectangle (the corner near the alpha on your diagram) is equal to half of the width of the outer rectangle.
I kind of cheated and used Mathematica to solve the algebra for me:
From this you can see that the maximum area of the inner rectangle is equal to 1/4 width^2 * cosecant of the angle times the secant of the angle.
Now I need to figure out what is the x value of the bottom corner for this optimal condition. Using the Solve function in mathematica on my area formula, I get the following:
Which shows that the x coordinate of the bottom corner equals half of the width.
Now just to make sure, I'll going to test our answer empirically. With the results below you can see that indeed the highest area of all of my tests (definately not exhaustive but you get the point) is when the bottom corner's x value = half of the outer rectangle's width.
#Andri is not working correctly for image where width > height as I tested.
So, I fixed and optimized his code by such way (with only two trigonometric functions):
calculateLargestRect = function(angle, origWidth, origHeight) {
var w0, h0;
if (origWidth <= origHeight) {
w0 = origWidth;
h0 = origHeight;
}
else {
w0 = origHeight;
h0 = origWidth;
}
// Angle normalization in range [-PI..PI)
var ang = angle - Math.floor((angle + Math.PI) / (2*Math.PI)) * 2*Math.PI;
ang = Math.abs(ang);
if (ang > Math.PI / 2)
ang = Math.PI - ang;
var sina = Math.sin(ang);
var cosa = Math.cos(ang);
var sinAcosA = sina * cosa;
var w1 = w0 * cosa + h0 * sina;
var h1 = w0 * sina + h0 * cosa;
var c = h0 * sinAcosA / (2 * h0 * sinAcosA + w0);
var x = w1 * c;
var y = h1 * c;
var w, h;
if (origWidth <= origHeight) {
w = w1 - 2 * x;
h = h1 - 2 * y;
}
else {
w = h1 - 2 * y;
h = w1 - 2 * x;
}
return {
w: w,
h: h
}
}
UPDATE
Also I decided to post the following function for proportional rectange calculating:
calculateLargestProportionalRect = function(angle, origWidth, origHeight) {
var w0, h0;
if (origWidth <= origHeight) {
w0 = origWidth;
h0 = origHeight;
}
else {
w0 = origHeight;
h0 = origWidth;
}
// Angle normalization in range [-PI..PI)
var ang = angle - Math.floor((angle + Math.PI) / (2*Math.PI)) * 2*Math.PI;
ang = Math.abs(ang);
if (ang > Math.PI / 2)
ang = Math.PI - ang;
var c = w0 / (h0 * Math.sin(ang) + w0 * Math.cos(ang));
var w, h;
if (origWidth <= origHeight) {
w = w0 * c;
h = h0 * c;
}
else {
w = h0 * c;
h = w0 * c;
}
return {
w: w,
h: h
}
}
Coproc solved this problem on another thread (https://stackoverflow.com/a/16778797) in a simple and efficient way. Also, he gave a very good explanation and python code there.
Below there is my Matlab implementation of his solution:
function [ CI, T ] = rotateAndCrop( I, ang )
%ROTATEANDCROP Rotate an image 'I' by 'ang' degrees, and crop its biggest
% inner rectangle.
[h,w,~] = size(I);
ang = deg2rad(ang);
% Affine rotation
R = [cos(ang) -sin(ang) 0; sin(ang) cos(ang) 0; 0 0 1];
T = affine2d(R);
B = imwarp(I,T);
% Largest rectangle
% solution from https://stackoverflow.com/a/16778797
wb = w >= h;
sl = w*wb + h*~wb;
ss = h*wb + w*~wb;
cosa = abs(cos(ang));
sina = abs(sin(ang));
if ss <= 2*sina*cosa*sl
x = .5*min([w h]);
wh = wb*[x/sina x/cosa] + ~wb*[x/cosa x/sina];
else
cos2a = (cosa^2) - (sina^2);
wh = [(w*cosa - h*sina)/cos2a (h*cosa - w*sina)/cos2a];
end
hw = flip(wh);
% Top-left corner
tl = round(max(size(B)/2 - hw/2,1));
% Bottom-right corner
br = tl + round(hw);
% Cropped image
CI = B(tl(1):br(1),tl(2):br(2),:);
sorry for not giving a derivation here, but I solved this problem in Mathematica a few days ago and came up with the following procedure, which non-Mathematica folks should be able to read. If in doubt, please consult http://reference.wolfram.com/mathematica/guide/Mathematica.html
The procedure below returns the width and height for a rectangle with maximum area that fits into another rectangle of width w and height h that has been rotated by alpha.
CropRotatedDimensionsForMaxArea[{w_, h_}, alpha_] :=
With[
{phi = Abs#Mod[alpha, Pi, -Pi/2]},
Which[
w == h, {w,h} Csc[phi + Pi/4]/Sqrt[2],
w > h,
If[ Cos[2 phi]^2 < 1 - (h/w)^2,
h/2 {Csc[phi], Sec[phi]},
Sec[2 phi] {w Cos[phi] - h Sin[phi], h Cos[phi] - w Sin[phi]}],
w < h,
If[ Cos[2 phi]^2 < 1 - (w/h)^2,
w/2 {Sec[phi], Csc[phi]},
Sec[2 phi] {w Cos[phi] - h Sin[phi], h Cos[phi] - w Sin[phi]}]
]
]
Here is the easiest way to do this... :)
Step 1
//Before Rotation
int originalWidth = 640;
int originalHeight = 480;
Step 2
//After Rotation
int newWidth = 701; //int newWidth = 654; //int newWidth = 513;
int newHeight = 564; //int newHeight = 757; //int newHeight = 664;
Step 3
//Difference in height and width
int widthDiff ;
int heightDiff;
int ASPECT_RATIO = originalWidth/originalHeight; //Double check the Aspect Ratio
if (newHeight > newWidth) {
int ratioDiff = newHeight - newWidth;
if (newWidth < Constant.camWidth) {
widthDiff = (int) Math.floor(newWidth / ASPECT_RATIO);
heightDiff = (int) Math.floor((originalHeight - (newHeight - originalHeight)) / ASPECT_RATIO);
}
else {
widthDiff = (int) Math.floor((originalWidth - (newWidth - originalWidth) - ratioDiff) / ASPECT_RATIO);
heightDiff = originalHeight - (newHeight - originalHeight);
}
} else {
widthDiff = originalWidth - (originalWidth);
heightDiff = originalHeight - (newHeight - originalHeight);
}
Step 4
//Calculation
int targetRectanleWidth = originalWidth - widthDiff;
int targetRectanleHeight = originalHeight - heightDiff;
Step 5
int centerPointX = newWidth/2;
int centerPointY = newHeight/2;
Step 6
int x1 = centerPointX - (targetRectanleWidth / 2);
int y1 = centerPointY - (targetRectanleHeight / 2);
int x2 = centerPointX + (targetRectanleWidth / 2);
int y2 = centerPointY + (targetRectanleHeight / 2);
Step 7
x1 = (x1 < 0 ? 0 : x1);
y1 = (y1 < 0 ? 0 : y1);
This is just an illustration of Jeffrey Sax's solution above, for my future reference.
With reference to the diagram above, the solution is:
(I used the identity tan(t) + cot(t) = 2/sin(2t))

Resources