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» Bayesian Face Recognition with Deformable Image Models
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ICIP
2002
IEEE
14 years 9 months ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen
IBPRIA
2003
Springer
14 years 1 months ago
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images
Abstract. This paper deals with the problem of reconstructing a highresolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displace...
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos...
MVA
2002
261views Computer Vision» more  MVA 2002»
13 years 7 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang
MVA
1990
140views Computer Vision» more  MVA 1990»
13 years 9 months ago
Recognition of Human Motion Based on Interpretation of 2D Pattern Deformation
This paper presents an approach to recognize human motion from singleviewed image sequencein order to realize a new man-computerinterface.Thehuman body is assumed to be linked mod...
Keiko Shiraishi, Mutsuhiro Terauchi, Kenji Onaga
CVPR
2007
IEEE
14 years 9 months ago
Efficient MRF Deformation Model for Non-Rigid Image Matching
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
Alexander Shekhovtsov, Ivan Kovtun, Václav ...