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» Face Recognition Based on 2D and 3D Features
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FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
15 years 4 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
MVA
2007
309views Computer Vision» more  MVA 2007»
14 years 9 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 ...
ISNN
2007
Springer
15 years 4 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
CORR
2008
Springer
165views Education» more  CORR 2008»
14 years 10 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
WADS
2005
Springer
122views Algorithms» more  WADS 2005»
15 years 3 months ago
Hinged Dissection of Polypolyhedra
This paper presents a general family of 3D hinged dissections for polypolyhedra, i.e., connected 3D solids formed by joining several rigid copies of the same polyhedron along iden...
Erik D. Demaine, Martin L. Demaine, Jeffrey F. Lin...