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Matlab Feature Detection Codes
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 Matlab Feature Detection Codes 

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Feature detection is an importatnt aspect of any image or video processing application. The given code can be used for detecting cornera and edges in a RGB or grayscale image.It is based upon the famous paper on the topic titled "A Combined Corner and Edge Detector" by Harris and stephens.

It is a matlab function that codes a string of char with Arithmetic coding.

res=arithmetic_code(alphabet, distr_pr, string)

'alphabet' is a vector that contains the char used in the string 'string'; 'string' is the string to...

Differences between this and other Matlab-Rubik's codes are that it gives some possibilities for testing combinations (using command line instructions), makes it possible to work with, and solve "full cubes" (where the mid cube...

LibCpuDetect is a small helpful cross-platform library for cpu feature detection.You can use it to retrieve the system's number of CPUs and the number of cores per CPU, or if it supports Hyperthreading and many many more.

If you write regular expressions in MATLAB, RegexpHelper is the tool for you. RegexpHelper is a simple GUI that gives you immediate feedback on your regular expressions in MATLAB.

*Feature requests are welcome.

The code will work with the images which don't have much brightness variation on the face.the face must be properly enlighten.
The output of this code is mainly required for feature detection or facial expression recognition purpose.

I noticed most people here used OpenCV in MATLAB and said they did face detection. Those who did it by themselves had a bunch of code that was not understandable. I made a website which explains in detail my code for face detection...

System identification toolbox provided with MATLAB is a very easy to use feature that helps to identify the transfer function of black box system. This guide will provide a quick start to that. it will serve as a launchpad to more detailed...

MATLAB sparse matrix converter to Hypre
MATLAB vector converter to Hypre
Hypre sparse matrix converter to MATLAB
Hypre vector converter to MATLAB

The Parallel High Performance Preconditioners (hypre) is a library of...

I have about a hundred MATLAB routines related to econometrics, statistics and introductory economics teaching, which are written mostly in my spare time in the past years. Most of these MATLAB functions / scripts are supplied with a graphic user...

Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and...

The set of MATLAB codes are what I wrote for my Data Communications homework. They show a typical implementation of a (7,4) Hamming code. 'Read the how to run.txt' for instructions on how to use the codes

MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage"

Includes six lessons and supporting MATLAB codes for STAP research.

The attached model implements a Sobel edge detection algorithm in Embedded MATLAB.

This demo shows how to read in an image operate on the serialized data and reconstruct the image back from serialized data after applying Sobel...

This is a complete set of MATLAB codes for calculating effective Pitzer inertias for large amplitude torsions. Specific examples included in the zip file were taken from the publication by Bryan M. Wong, Ryan L. Thom, and Robert W. Field in The...

Return same information than with Matlab command feature('memstats') but in structure form.

The zip file contains
1. A 128x256 Regular (3,6) H matrix (if you need to simulate other codes, need to write your own code for generating those parity check matrices). The file '128x256regular_v6.mat' is for those using Matlab 6.5.

The DEMO includes 5 feature selection algorithms:
d-deD? Sequential Forward Selection (SFS)
d-deD? Sequential Floating Forward Selection (SFFS)
d-deD? Sequential Backward Selection (SBS)
d-deD? Sequential Floating Backward...

Explain why we use fftshift(fft(fftshift(x))) in Matlab instead of fft(x). An example is given. The example and Matlab codes are partially copied from Daniele Disco d-de?s work in "A guide to the Fast Fourier Transform, 2nd Edition".