Description: 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)
Platform: |
Size: 1295516 |
Author:ruan |
Hits:
Description: 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)
Platform: |
Size: 1295360 |
Author:ruan |
Hits:
Description: 前脸的检测，分类器，训练分类器，人脸检测，opencv-Prior to face detection, classification, and the training classifier, face detection, opencv Platform: |
Size: 83968 |
Author:xzy |
Hits:
Description: 基于opencv的人脸识别分类器算法与具体实现代码。-Implementation code based opencv face recognition algorithms and specific classification. Platform: |
Size: 86016 |
Author:刘连东 |
Hits:
Description: 该程序实现功能：基于opencv的人脸检测 文件中包含人脸检测的训练集haarcascade_eye.xml和haarcascade_frontalface_alt2.xml-The program implements functions: Based on opencv face detection file contains face detection training set haarcascade_eye.xml and haarcascade_frontalface_alt2.xml Platform: |
Size: 139264 |
Author:陈令刚 |
Hits:
Search - haarcascade_frontalface_alt2