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» Probabilistic Reasoning Models for Face Recognition
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CVPR
2005
IEEE
14 years 7 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman
FGR
1996
IEEE
119views Biometrics» more  FGR 1996»
13 years 9 months ago
A probabilistic framework for perceptual grouping of features for human face detection
Present approaches to human face detection have made several assumptions that restrict their ability to be extended to general imaging conditions. We identify that the key factori...
Kin Choong Yow, Roberto Cipolla
ICIAP
2001
Springer
14 years 5 months ago
Bayesian Face Recognition with Deformable Image Models
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
Baback Moghaddam, Chahab Nastar, Alex Pentland
FGR
2004
IEEE
107views Biometrics» more  FGR 2004»
13 years 9 months ago
Intra-Personal Kernel Space for Face Recognition
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 i...
Shaohua Kevin Zhou, Rama Chellappa, Baback Moghadd...
AMDO
2008
Springer
13 years 7 months ago
Apperance-Based Tracking and Face Identification in Video Sequences
We present a technique for face recognition in videos. We are able to recognise a face in a video sequence, given a single gallery image. By assuming that the face is in an approxi...
José Miguel Buenaposada, Juan Bekios, Luis ...