This method divides the large face database into some small sub-face databases by maximizing the variance in the face sub-database and minimizing the variance ...
In this paper, we propose an efficient grid-based multi-scale PCA method in the large face database. This method divides the large face database into some ...
This method divides the large face database into some small sub-face databases by maximizing the variance in the face sub- database and minimizing the variance ...
This method divides the large face database into some small sub-face databases by maximizing the variance in the face sub-database and minimizing the ...
Apr 25, 2022 · An overview of these PCA-based approaches, with a focus on those which differ from the classical PCA-based face recognition method only in terms ...
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This paper presents a high performance face recognition system, in which the face database has a large amount of 2.5 million faces. Huge as the face ...
Two significant advantages of this method are: (1) the computational cost of recognizing a new face is independent of the size of the pixel grid; and (2) it.
Mar 21, 2011 · In this work, a new human face recognition algorithm based on bidirectional two dimensional principal component analysis (B2DPCA) and ...
Jul 31, 2023 · The proposed method achieves state-of-the-art results on several face recognition benchmarks. Liu et al. presents a large-scale face dataset ...
Based on the obtained face sample database, face recognition recognizes or verify one or more faces from static or dynamic scenes with image processing and ...