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» Diagonal principal component analysis for face recognition
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ICVS
1999
Springer
13 years 12 months ago
Face-Tracking and Coding for Video Compression
While computing power and transmission bandwidth have both been steadily increasing over the last few years, bandwidth rather than processing power remains the primary bottleneck f...
William E. Vieux, Karl Schwerdt, James L. Crowley
CVPR
2003
IEEE
14 years 9 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma
AMFG
2003
IEEE
102views Biometrics» more  AMFG 2003»
14 years 29 days ago
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
ICCV
1999
IEEE
13 years 12 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
ICIP
1999
IEEE
14 years 9 months ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres