This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV's face detector. Instructions for use and for compiling can be found in the Readme file.
FaceDetect (<Haar Cascase XML file>, <Gray scale Image>)
The function returns Nx4 matrix. In case no faces were detected, N=1 and all four entries are -1. Otherwise, N=number of faces in the image and the vector contains the x, y, width and height information of the face.
A = imread ('lena.jpg', 'JPG');
Img = double (rgb2gray(A));
Face = FaceDetect('haarcascade_frontalface_alt2.xml',Img);
Sreekar Krishna (2022). Open CV Viola-Jones Face Detection in Matlab (https://www.mathworks.com/matlabcentral/fileexchange/19912-open-cv-viola-jones-face-detection-in-matlab), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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