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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: 人脸检测与识别vc++源代码，希望大家喜欢-face detection and recognition vc source code, hope you like
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Size: 228352 |
Author: 江水 |
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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: 老外用openCV实现Viola&Jones的经典face detection，pdf文档是执行说明。-OpenCV the realization of a foreigner with Viola & Jones classic face detection, pdf document is the implementation of that.
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Size: 7692288 |
Author: jiangshui |
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Description: Viola-Jones Fast Face Detection的matlab实现。-Viola-Jones Fast Face Detection Mex Implementation
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Size: 1295360 |
Author: jiangshui |
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Description: this document explains the process of training a pedestrian detector using Viola and Jones’
cascaded classifier approach. it was originally
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Size: 132096 |
Author: lordthanatos |
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Description: 经典的基于Viola Jones算法的人脸识别matlab程序-the classic face recognition matlab program based on Viola Jones algorithm
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Size: 47104 |
Author: emac |
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Description: Real-Time Facial Feature Point Extraction-Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90 detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions.
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Size: 871424 |
Author: Ng Jack |
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Description: eyes detection, viola and jones algorithm, visual studio 2008 and OpenCV
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Size: 4448256 |
Author: mayas |
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Description: 该论文为Viola Jones 的经典人脸识别系统的设计思路，以及其在应用中的检测率和假阳性率-The paper is a classic Viola Jones face recognition system design and its application in the detection rate and false positive rate
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Size: 149504 |
Author: huohuhuahua |
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Description: This paper presents a novel adaptive algorithm to
detect the center of pupil in frontal view faces. This algorithm, at
first, employs the viola-Jones face detector to find the approximate
location of face in an image. The knowledge of the face structure
is exploited to detect the eye region. The histogram of the detected
region is calculated and its CDF is employed to extract the eyelids
and iris region in an adaptive way. The center of this region is
considered as the pupil center. The experimental results show
ninety one percent’s accuracy in detecting pupil center.
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Size: 724992 |
Author: Gheis |
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Description: Adaboost的首次提出，Paul Viola和Michael Jones在2001年的CVPR会议上-Adaboost was first proposed by Paul Viola and Michael Jones in the 2001 CVPR Conference
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Size: 149504 |
Author: 吴星 |
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Description: 利用肤色提取和Viola & Jones积分图来实现人脸检测-Face detection using skin color extraction and integral image
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Size: 5120 |
Author: 居荣宇 |
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Description: adboost算法的一个例子。在Kearns和Valiant在1989年大作中指出了这种算法的可行性。而后，Freund在
1990年以及他和Schapire在 1994-1996年提出了boosting整个算法思路，似乎这种算法走到
了实际应用的开端。然而直到AdaBoost被viola在其人脸识别系统中运用(2001Viola和
Jones)，这种方法才彻底开始暴火.-An example adboost algorithm. Kearns and Valiant pointed at the feasibility of this method in 1989 masterpiece. Then, Freund and Schapire he made in 1990 and in 1994-1996 the idea of boosting the entire algorithm, this algorithm seems to come to the beginning of the practical application. However, until the use of AdaBoost is viola (2001Viola and Jones) in its face recognition systems, this approach was completely start a fire storm.
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Size: 89088 |
Author: liangfangfang |
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Description: this paper gives a brief discription of different methodology for face detection and facial expresssion recognition.for face detection Exhaustive search,Branch and Bound,Viola-Jones methods can be used. for expression recognition gabor filter, discrete cosine transform ,SVM can be used.
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Size: 225280 |
Author: nanhi |
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Description: Lets see how to detect face, nose, mouth and eyes using the MATLAB built-in class and function. Based on Viola-Jones face detection algorithm, the computer vision system toolbox contains vision.CascadeObjectDetector System object which detects objects based on above mentioned algorithm.
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Size: 225280 |
Author: sirisha |
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Description: face detection use the method of viola & jones and detection parts of face nose eye end month
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Size: 94208 |
Author: dhafer |
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Description: this is viola and jones description for object detection
this is the base of object detection
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Size: 286720 |
Author: saif king |
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Description: 这个是面部表情自动识别的源代码。它是基于Viola和Jones的面部检测算法和Gabor面部特征点的提取，然后使用训练过的神经网络来识别人脸表情。-This is the automatic recognition of facial expression source code. It is Viola and Jones face detection algorithms and Gabor facial feature point extraction, and then use the trained neural network based on facial expression recognition.
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Size: 14336 |
Author: 彭格格 |
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Description: This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods proposed in literature are reviewed for each stage of a system. Finally, the design and implementation of this system are explained. The face detection algorithm used in the system is based on Viola-Jones. The features are obtained using Gabor features. The MultiSupport Vector Machine is used for classification. The used for facial expression system is JAFFE Database-This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods proposed in literature are reviewed for each stage of a system. Finally, the design and implementation of this system are explained. The face detection algorithm used in the system is based on Viola-Jones. The features are obtained using Gabor features. The MultiSupport Vector Machine is used for classification. The used for facial expression system is JAFFE Database
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Size: 177152 |
Author: Jashpreet |
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