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» Diagonal principal component analysis for face recognition
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CVPR
2007
IEEE
15 years 12 days ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
NECO
1998
151views more  NECO 1998»
13 years 10 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
CAIP
2003
Springer
138views Image Analysis» more  CAIP 2003»
14 years 3 months ago
A Face Processing System Based on Committee Machine: The Approach and Experimental Results
Abstract. In this paper, we propose a heterogeneous committee machine for face processing including face detection and recognition. Our proposed system consists of two components, ...
Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin ...
AC
2003
Springer
14 years 2 months ago
Influence of Location over Several Classifiers in 2D and 3D Face Verification
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
Susana Mata, Cristina Conde, Araceli Sánche...
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo