Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Questions asking us to recommend or find a tool, library or favorite off-site resource are off-topic for Stack Overflow as they tend to attract opinionated answers and spam. Instead, describe the problem and what has been done so far to solve it.
Closed 8 years ago.
Improve this question
Are there any face recognition algorithms written in the R statistical language? If not, please provide guidance on where I might start translating other algorithms to R.
Be sure to check out the update made on May 8, 2013. See below.
Here are a few links/thoughts to get you started:
Does it have to be in R? (There are other languages/packages that are inherently more suitable for image processing.
If R is mandatory, look into the EBImage (it has a pdf vignette) and raster packages. (http://cran.r-project.org/web/packages/raster/)
Where's Waldo? type exercises are always a good place to start if you are new to image processing. Here are is one R question in SO
Here's an actual R example that you will find really useful: "Finding a bright object" exercise in in.R()
Even though it is not in R per se read the responses to image-processing using mathematica question in SO. Some of the ideas there are language-agnostic.
Update
R's ReadImages package is another good way to get started with "Image Processing with R."
Install the ReadImages package from cran. Documentation
Try out a couple of the functions, with some image on your machine. That's only way to learn.
img <- read.jpeg("abc.jpg) Try out the rgb2grey(img)
Also try the clipping() function.
Update 2: May 08, 2013
Kaggle has just published an excellent tutorial for Face Recognition in R (by James Petterson). It has many things going for it: A sample dataset, it doesn't use many esoteric libraries -- just reshape2 and doMC (optional unless you have a multi-core machine).
The Kaggle tutorial covers the idea of facepoints (left_eyebrow, nose tip etc), the idea of a 'mean' location for features and the concept of using image patches to improve recognition.
I cannot think of a better link for this question. Be sure to check it out.
Hope these help you get started.
Related
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Questions asking us to recommend or find a tool, library or favorite off-site resource are off-topic for Stack Overflow as they tend to attract opinionated answers and spam. Instead, describe the problem and what has been done so far to solve it.
Closed 8 years ago.
Improve this question
I'm a self taught Ruby on Rails engineer, and I'm looking to improve my CS understanding. However, most books about data structures and algorithms are written in Java/C/C++/etc, which I don't know. Is there text on these topics using Ruby? Or do you feel Java is similar enough to Ruby that I could survive through a book?
Is there any recommended text for someone coming from my background?
P.S. Recently I've been looking at Objective C, so I'm not completely blind to statically typed languages.
There's a bunch of books on algorithms that are not tied to specific language. Check
http://www.amazon.com/Algorithms-Sanjoy-Dasgupta/dp/0073523402
http://www.amazon.com/Introduction-Algorithms-Thomas-H-Cormen/dp/0262033844
I also recommend fundamental, still non-finished classics
http://www.amazon.com/Computer-Programming-Volumes-1-4A-Boxed/dp/0321751043
If you are jumping into Obj-C it might actually be very worth your time to learn C first. Objective C is very closely related to C minus the odd syntax of Obj-C. In that case you may want to consider K and R which is considered the bible of C to learn that first which will get you started with it to teach you the basics of C and data structures you can later expand on. Also, in case you are learning Objective C to program iOS you may want to be on the cutting edge and learn Swift since Apple is moving to Swift for the future. It is much easier actually and closer to Ruby!
Good luck.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Questions asking us to recommend or find a tool, library or favorite off-site resource are off-topic for Stack Overflow as they tend to attract opinionated answers and spam. Instead, describe the problem and what has been done so far to solve it.
Closed 8 years ago.
Improve this question
I hoping to create an application that would listen to ambient sound and detect if music is being played. It is not important to identify the music being played; just detecting that some music is being played is enough.
I looked around for existing solutions but couldn't find any. Does anyone know algorithms that I can use to solve this problem? If source code is available, all the better.
I found are a couple of academic papers and implemented solutions suggested in them. But the results I obtained were not satisfactory.
PS:
i) It would be a bonus if the algorithm is not computationally intensive; if algorithm is completely in time-domain that would be wonderful. ii) It is okay if the solution is not very accurate; occasional false-positives are okay.
Under the assumption that music is made of a bunch of chords instead of single pitch (like monophonic MIDI), multiple pitches at the same time (aka, the chords) may be a good candidate to be detected and differentiated from pure noise. Actually there is a very good Harmony Progression Analyser software package in which chords are detected based on a chromagram. Hope it helps.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Questions asking us to recommend or find a tool, library or favorite off-site resource are off-topic for Stack Overflow as they tend to attract opinionated answers and spam. Instead, describe the problem and what has been done so far to solve it.
Closed 9 years ago.
Improve this question
I'm currently working on a project to automate the reading of a type of sensor (very similar to a pregnancy test stick, see figure below). The stick is dipped in a sample and either 1 or 2 lines appear.
The sensor is then photographed and it is this image that needs to be processed. My question is: what is the best way of going about this? From what I've read about the subject the MatLab image processing toolbox is very good, but that's a little beyond my budget. Are there any free/ cheapish alternatives that would be suitable?
The ImageJ toolbox might suit you. http://en.wikipedia.org/wiki/ImageJ
This would be possible using OpenCV using Java, Python or C/C++.
OpenCV (Open Source Computer Vision Library) is an open source
computer vision and machine learning software library. OpenCV was
built to provide a common infrastructure for computer vision
applications and to accelerate the use of machine perception in the
commercial products. Being a BSD-licensed product, OpenCV makes it
easy for businesses to utilize and modify the code.
A line detector is not that difficult to write code by yourself. Search for canny edge detector and hough transform for more details. And there are also some codes written by others that are shared in mathwork exchange pages, such as :
http://www.mathworks.com/matlabcentral/fileexchange/34637-line-detection-using-hough-transform/content/try3.m
http://www.mathworks.com/matlabcentral/fileexchange/35754-wide-line-detector
If you have the jpeg or other images rather than the raw data, imageJ is also a good choice for various image processing approaches: http://rsb.info.nih.gov/ij/download.html (though imageJ can also import binary data format file)
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Questions asking us to recommend or find a tool, library or favorite off-site resource are off-topic for Stack Overflow as they tend to attract opinionated answers and spam. Instead, describe the problem and what has been done so far to solve it.
Closed 8 years ago.
Improve this question
There is a nice function plotter built into OSX. Has anyone found something free that runs on windows (with out having to go through Cygwin)?
How about MathGV - Function Plotting Software?
Also, DME Calculator is a calculator that can plot functions.
The DME calculator is an advanced
calculator for Windows. It is a part
of the program package for controlling
our instruments. However, in its basic
version it can be of use for anyone
who wishes to make calculations with a
PC or wishes to solve somewhat more
complex problems without having to use
a large spreadsheet program package.
The DME calculator fits on a diskette
and starts without any notable waiting
time.
If by functions, you mean mathematical functions, there is a nice list here which has plenty of suggestions.
Wolframalpha.com
excellent for many branches of academia. it also plots.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Questions asking us to recommend or find a tool, library or favorite off-site resource are off-topic for Stack Overflow as they tend to attract opinionated answers and spam. Instead, describe the problem and what has been done so far to solve it.
Closed 8 years ago.
Improve this question
Hi I need to graph some arrays to analyse signals, I have a cocoa project going. Can anyone tell me where I can find tools to simplify this task?
Basically i want to display my arrays like on a graphing calculator.
Even though it's a young library, I'd suggest looking at the open source Core Plot framework. It works on Mac and iPhone and can currently plot line and bar charts. As I said, it's young and a lot of the core functionality is still being written, but it might work right now for your case.
Take a look at this post to the Apple mailing lists. http://lists.apple.com/archives/scitech/2007/Jun/msg00022.html
It mentions 3 potential graphing packages that you can try. I have not had personal experience with them, so buyer beware, but it will at least give you a start on where to look.
XCode allows you to create data formatters to present object data in the debugger, but it doesn't provide any way to graphically represent the data using charts or graphs. (At least, not that I know of!) I think that's beyond the scope of XCode. You might consider dumping the data from your array to a file using a bit of code or the console, and then loading it into Excel or MATLAB. Then you can create a graph of your signal with no problem.
Just out of curiosity, are you familiar with another IDE that provides graphs of array data? I know tools like MATLAB and Mathematica do it pretty nicely, but I've never seen it in an IDE.