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Method for recognizing face using two-dimensional canonical correlation analysis
Method for recognizing face using two-dimensional canonical correlation analysis
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机译：二维典型相关分析的人脸识别方法
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摘要
A method for recognizing a face is provided to calculate a correlation variable vector with front-side face data, corresponding to illumination or pause learning data, through the two-dimensional canonical correlation analysis. A method for recognizing a face includes the following steps of: calculating a correlation variable vector for maximizing the correlation through the two-dimensional canonical correlation analysis, wherein the correlation is the relation between face images or user face pose images under various illumination states and stored front-side face image data; normalizing an inputted image to fit the position of eyes and the image size so as to be identical to learning data; and performing the recognition of a front-side face stored in a DB(510) by using a value obtained by the dot-product of the correlation variable vector and a pre-processed input image.
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