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Face Recognition Feature Comparison Based SVD and FFT
School of Science, Beijing University of Chemical Technology, Beijing, China.
School of Science, Beijing University of Chemical Technology, Beijing, China.
School of Science, Beijing University of Chemical Technology, Beijing, China.
- 1 School of Science, Beijing University of Chemical Technology, Beijing, China.
- 2 School of Science, Beijing University of Chemical Technology, Beijing, China.
- 3 School of Science, Beijing University of Chemical Technology, Beijing, China.
Journal of Signal and Information Processing·Volume 03 (2012)·Pages 259–262·Published 30 May 2012·DOI10.4236/jsip.2012.32035
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Abstract
SVD and FFT are both the efficient tools for image analysis and face recognition. In this paper, we first study the role of SVD and FFT in both filed. Then the decomposition information from SVD and FFT are compared. Next, a new viewpoint that the singular value matrix contains the illumination information of the image is proposed and testified by the experiments based on the ORL face database finally.
KeywordsFace RecognitionFeature ExtractionSVDFFT
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