Parallel Image Matrix Compression for Face Recognition
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洪洪洪 12/31
description
Parallel Image Matrix Compression for Face Recognition. 洪銘曎 12/31. Introduction. The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. - PowerPoint PPT Presentation
Transcript of Parallel Image Matrix Compression for Face Recognition
洪銘曎 12/31
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation.
With the high feature dimensions, face recognition often suffers from the curse of dimension problem.
I ) what is the meaning of the eigenvalue and eigenvector of the covariancematrix in 2DPCA 2) why 2DPCA can outperform Eigenface 3) how to reduce the dimension after 2DPCA directly.