文件名称:OpenCV_face_detector
介绍说明－－下载内容均来自于网络，请自行研究使用
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)
-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)
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)
-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)
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(系统自动生成,下载前可以参看下载内容)
下载文件列表
bin
...\cv100.dll
...\cxcore100.dll
...\FaceDetect.dll
...\FaceDetect.mexw32
haarcascade_frontalface_alt2.xml
Include
.......\cv.h
.......\cv.hpp
.......\cvcompat.h
.......\cvtypes.h
.......\cvver.h
.......\cxcore.h
.......\cxcore.hpp
.......\cxerror.h
.......\cxtypes.h
lib
...\cv.lib
...\cvhaartraining.lib
...\cxcore.lib
Readme.txt
src
...\FaceDetect.cpp
TestFaceDetection.m
...\cv100.dll
...\cxcore100.dll
...\FaceDetect.dll
...\FaceDetect.mexw32
haarcascade_frontalface_alt2.xml
Include
.......\cv.h
.......\cv.hpp
.......\cvcompat.h
.......\cvtypes.h
.......\cvver.h
.......\cxcore.h
.......\cxcore.hpp
.......\cxerror.h
.......\cxtypes.h
lib
...\cv.lib
...\cvhaartraining.lib
...\cxcore.lib
Readme.txt
src
...\FaceDetect.cpp
TestFaceDetection.m