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Search - haarcascade_frontalface_alt2 - List
[
Graph Recognize
]
OpenCV_face_detector
DL : 0
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)
Date
: 2008-10-13
Size
: 1.24mb
User
:
ruan
[
Graph Recognize
]
OpenCV_face_detector
DL : 0
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)
Date
: 2025-07-11
Size
: 1.24mb
User
:
ruan
[
GIS program
]
haarcascade_frontalface_alt2
DL : 0
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
Date
: 2025-07-11
Size
: 82kb
User
:
xzy
[
AI-NN-PR
]
haarcascade_frontalface_alt2
DL : 0
前脸训练器,能很好的进行分类,适用于人脸检测-foreface train
Date
: 2025-07-11
Size
: 82kb
User
:
王静
[
ELanguage
]
haarcascade_frontalface_alt2.xml_files
DL : 0
blob analisys for pedestrian identification
Date
: 2025-07-11
Size
: 73kb
User
:
adriano
[
OpenCV
]
haarcascade_frontalface_alt2
DL : 0
OpenCV人脸检测分类器,Haar 特征-OpenCV face recognition classier,Haar features
Date
: 2025-07-11
Size
: 82kb
User
:
shen
[
Other
]
haarcascade_frontalface_alt2
DL : 0
haarcascade for face detection
Date
: 2025-07-11
Size
: 82kb
User
:
bilge
[
OpenCV
]
haarcascade_frontalface_alt2
DL : 0
OpenCV正面人脸检测级联分类器训练结果haarcascade_frontalface_alt2-OpenCV frontal face detection cascade classifier training results haarcascade_frontalface_alt2
Date
: 2025-07-11
Size
: 83kb
User
:
youxia
[
Software Engineering
]
haarcascade_frontalface_alt2
DL : 0
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.
Date
: 2025-07-11
Size
: 84kb
User
:
刘连东
[
Graph Recognize
]
haarcascade_frontalface_alt2
DL : 0
最好的人脸识别haar cascade,用于opencv -best haar cascade for face detection
Date
: 2025-07-11
Size
: 83kb
User
:
adrianxxx
[
OpenCV
]
FaceDetection
DL : 0
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
Date
: 2025-07-11
Size
: 136kb
User
:
陈令刚
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