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[Graph programfacial_features_detection

Description: 針對單一人臉做出五官的檢測定位,並在人臉上畫出五官的方框作為表示.-For a single human face detection features make positioning, and his face painted in the box as an express facial features.
Platform: | Size: 3072 | Author: 李毅駿 | Hits:

[matlabfinalfacialExpression

Description: Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.
Platform: | Size: 94208 | Author: Amburose | Hits:

[Graph programaam-matlab

Description: ASM算法 MATLAB源代码 人脸特征点定位的目的是在人脸检测的基础上,进一步确定脸部特征点(眼睛、眉毛、鼻子、嘴巴、脸部外轮廓)的位置。定位算法的基本思路是:人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mouth, contour of the face) on the basis of face detection. The basic idea of the localization algorithm is that the texture features of the face and the position constraint between the individual feature points are combined. The classical algorithm is ASM and AAM.
Platform: | Size: 152576 | Author: | 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:

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