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Library for creating computer vision systems, using OpenCV, encapsulating the main functionalities on easy to use C++ way, and extending them. It includes face recognition, wavelet transform, stereo vision (future) and speak recognition(future).
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基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化,然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图,最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-sca
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lda线性特征提取,用于人脸识别,首先进行小波特征提取后用lda提取特征。-lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.
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小波融合pca,采用特征级的融合,用于人脸识别。-Wavelet fusion pca, using Feature-level fusion for face recognition.
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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先,从每幅人脸图像中手工定
位34个基准点,作为面部表情图像的几何特征,同时采用Gabor小波变换方法对每幅表情图像进行变换,并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征;其次,利用典型相关分析技术对几何特征和Gabor特征进
行特征融合,作为表情识别的输人特征;然后,利用模糊核判别分析方法进一步提取表情的鉴别特征;最后,采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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利用Gabor小波变换解决人脸识别中的小样本问题.caj-Face Recognition using Gabor wavelet transform to solve the small sample size problem. Caj
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Combined Face Recognition Using Wavelet Transform and Bayesian
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Partially achieved tracking speed iterative relaxation algorithm, The IMC - PID is using the internal model control principle for PID parameters is calculated, Gabor wavelet transform and PCA face recognition code.
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