TR2004-025
Intra-Personal Kernel Space for Face Recognition
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- "Intra-Personal Kernel Space for Face Recognition", Tech. Rep. TR2004-025, Mitsubishi Electric Research Laboratories, Cambridge, MA, April 2004.BibTeX TR2004-025 PDF
- @techreport{MERL_TR2004-025,
- author = {Shaohua Zhou, Rama Chellappa, Baback Moghaddam},
- title = {Intra-Personal Kernel Space for Face Recognition},
- institution = {MERL - Mitsubishi Electric Research Laboratories},
- address = {Cambridge, MA 02139},
- number = {TR2004-025},
- month = apr,
- year = 2004,
- url = {https://www.merl.com/publications/TR2004-025/}
- }
,
- "Intra-Personal Kernel Space for Face Recognition", Tech. Rep. TR2004-025, Mitsubishi Electric Research Laboratories, Cambridge, MA, April 2004.
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Research Areas:
Abstract:
Intra-personal space modeling proposed by Moghaddam et al. has been successfully applied in face recognition. In their work the regular principal subspaces are derived from the intra-personal space using a principal component analysis and embedded in a probabilistic formulation. In this paper, we derived the principal subspace from the intra-personal kernel space by developing a probabilistic analysis of kernel principal components for face recognition. We test this new algorithm on a subset of the FERET database with illumination and facial expression variations. The recognition performance demonstrates its advantage over other traditional subspace approaches.