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[Special EffectsFaceDetect(mathworks)

Description: Viola-Jones Fast Face Detection的matlab实现。-Viola-Jones Fast Face Detection Mex Implementation
Platform: | Size: 1295360 | Author: jiangshui | Hits:

[Other systemsVJ-DETECTOR

Description: Viola-Jones Face detection
Platform: | Size: 17551360 | Author: alaa51 | Hits:

[Graph RecognizeFaceDetectuionImadMahdi

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
Platform: | Size: 47104 | Author: emac | Hits:

[matlabhaar_face-detection

Description: this a face detector using haar like features this is an extension of viola jones model with lesser number of features or subset of features-this is a face detector using haar like features this is an extension of viola jones model with lesser number of features or subset of features
Platform: | Size: 1064960 | Author: somesh | Hits:

[OpenCVOpenCV_face_detector

Description: opencv 1.0 中人脸检测代码的实现 用到了matlab 与c++混合编码-face detection using viola-jones algrithm.
Platform: | Size: 1295360 | Author: fs | Hits:

[matlabcode-for-face-detection

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.
Platform: | Size: 225280 | Author: sirisha | Hits:

[Special Effectsrelease1_nov14

Description: viola jones经典人脸检测算法,matlab版本-viola jones classic face detection algorithm, matlab version
Platform: | Size: 1863680 | Author: 梁孟醒 | Hits:

[Special EffectsViolaJones_version0b

Description: Viola-Jones in Matlab 2010b for face detection
Platform: | Size: 229376 | Author: liwo | Hits:

[AI-NN-PRFacialExpressionClassification

Description: 1. 使用matlab自带的人脸识别工具(Viola-Jones算法)找出人脸的位置,并裁剪出人脸区域。 2. 使用Gabor滤波器识别出人脸的局部特征及纹理。 3. 训练一个SVM进行表情分类。 4. 交叉验证得到表情分类正确率为83.3 。 操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human face, and cut out the face region. 2. Use Gabor filter to identify the face local feature and texture. 3. Adopt SVM to train a facial expression classifier. 4. Use cross-validation to exam the classification accuracy: 83.3 .
Platform: | Size: 5593088 | Author: 冯溢 | Hits:

[matlabmatlab-viola-jones-master

Description: 用matlab实现了基于viola-jones框架的人脸检测算法(A face detection algorithm based on Viola-Jones framework is implemented with MATLAB)
Platform: | Size: 4567040 | Author: 是大神啊 | Hits:

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