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this paper gives a brief discr iption 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, discr
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viola jones经典人脸检测算法，matlab版本-viola jones classic face detection algorithm, matlab version
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Viola-Jones in Matlab 2010b for face detection
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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
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图像工程作业2：使用滑动窗的人脸检测 (Face detection with a sliding window, Viola Jones)-Image Engineering Assignment 2: Use the sliding window Face Detection (Face detection with a sliding window, Viola Jones)
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Face Detection using DWT-SVM method. Detect face parts using Viola-jones method. We used two s namely, ORL and JAFFEE.
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Image classification using RBFSVM and Manhattan distance. It detects face and eye. Face detection using Viola jones.
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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
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使用viola-jones算法实现人脸检测并将人脸剪裁出来，通过统计被剪裁人脸的个数实现课堂出勤人数的统计(Face detection using Viola-Jones algorithm, and cut out the face, through the statistics of the number of faces cut to achieve class attendance statistics)
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