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CVPR
2009
IEEE
16 years 9 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
SMI
2003
IEEE
223views Image Analysis» more  SMI 2003»
15 years 7 months ago
Skeleton Extraction of 3D Objects with Radial Basis Functions
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Wan-Chun Ma, Fu-Che Wu, Ming Ouhyoung
ICIP
2009
IEEE
16 years 3 months ago
Face Recognition Using Sift Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigni...
PR
2007
148views more  PR 2007»
15 years 1 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
MVA
2007
309views Computer Vision» more  MVA 2007»
15 years 1 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...