Open CV Viola-Jones Face Detection in Matlab

Viola-Jones Fast Face Detection Mex Implementation

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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.

Usage:

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.

Example,
A = imread ('lena.jpg', 'JPG');
Img = double (rgb2gray(A));
Face = FaceDetect('haarcascade_frontalface_alt2.xml',Img);

Citar como

Sreekar Krishna (2026). Open CV Viola-Jones Face Detection in Matlab (https://la.mathworks.com/matlabcentral/fileexchange/19912-open-cv-viola-jones-face-detection-in-matlab), MATLAB Central File Exchange. Recuperado .

Agradecimientos

Inspiración para: Face Detection & Recognition System, Fast Eyetracking

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
1.0.0.0

The original code was causing segmentation fault in matlab. Removed the last but one line in the source file 'FaceDetect.cpp' - delete(cascade).
Have tested this code up to 1500 continuous face detections without any segmentation faults.