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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)
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Size: 1295516 |
Author: ruan |
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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 |
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Description: face detection using haar cascades and opencv functions
Platform: |
Size: 1162240 |
Author: vamsi krishna |
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Description: It is haar features for eye detection
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Size: 5120 |
Author: steve |
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Description: clasificadores haar para la boca ojos y cara,,,,xml aleiromondo
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Size: 952320 |
Author: mauro |
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Description: A haar cascade for eyes written in XML for opencv and eye detection
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Size: 4096 |
Author: Hala |
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Description: Face recognition haar training xml file
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Size: 2048 |
Author: adirkol |
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Description: opencv中haar+Adaboost已经训练好的分类器。有双目、身体等等，出自专家之手，必属精品，CV 1.0版本的有需要就下吧。-haarcascades train by expects, body, eyes.. xml files of many kinds are included which can be used directly. OpenCV 1.0 ver can download from here.
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Size: 1503232 |
Author: Lei ChunPo |
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Description: 手势识别，使用OpenCV的haar 分类器。训练因为对各个环境不同，请大家自己下载或者自己训练样本。-Hand Recognition and Tracking using OpenCV. It uses Haar Classifier. Because Haar features are different, I did not include the .xml file, please download it online or train it yourself.
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Size: 22484992 |
Author: 赛义 |
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Description: 基于openCV的多角度人脸检测，融合了正脸侧脸haar分类器，具有极强鲁棒性-, The integration of multi-angle face detection based on openCV positive face side faces haar classifier, with strong robustness
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Size: 8489984 |
Author: herthy |
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Description: 基于opencv1.0与mfc，显示haar特征，打开一个haar xml文件，就可以以图像方式，直观的查看里面的haar特征了。-Based on opencv1.0 with mfc display the haar characteristics, open a haar xml file, image, intuitive view inside haar features.
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Size: 802816 |
Author: yeah |
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Description: 人脸及行人检测中在opencv中要用到的haarcascade_righteye_2splits.xml，即特征检测的haar分类器，包括正面，侧边，上下左右各种，很全面-Face and pedestrian detection in opencv use to haarcascade_righteye_2splits.xml, feature detection haar classifier, including front, side, up and down various, very comprehensive
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Size: 1981440 |
Author: 黄小菲 |
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Description: The steps for training a haar classifier and detecting an object can be divided into :
Creating the description file of positive samples
Creating the description file of negative samples
Packing the positive samples into a vec file
Training the classifier
Converting the trained cascade into a xml file
Using the xml file to detect the object
-The steps for training a haar classifier and detecting an object can be divided into :
Creating the description file of positive samples
Creating the description file of negative samples
Packing the positive samples into a vec file
Training the classifier
Converting the trained cascade into a xml file
Using the xml file to detect the object
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Size: 1024 |
Author: hassin |
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Description: haar cascade upper body classifier
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Size: 123904 |
Author: Joe |
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Description: xml hand opencv to recognised hand in a recrtangle. based in haar cascade method
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Size: 7168 |
Author: argurun
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Description: frontal face .xml for opencv and emgu cv :D
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Size: 133120 |
Author: matin.ghiasvand1381
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Description: Frontal eyes .xml for c# opencv and emgu cv
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Size: 26624 |
Author: matin.ghiasvand1381
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Description: an xml file for detect mouth in c# emgu cv and open cv
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Size: 77824 |
Author: matin.ghiasvand1381
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Description: a trained haar cascade for c# emgu and open cv
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Size: 32768 |
Author: matin.ghiasvand1381
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Description: a trained xml for detect wall clocks for c# and opencv (emgu cv)
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Size: 162816 |
Author: matin.ghiasvand1381
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