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199
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MVA
2007
309views Computer Vision» more  MVA 2007»
15 years 3 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 ...
PR
2010
170views more  PR 2010»
15 years 2 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
136
Voted
TIP
2011
137views more  TIP 2011»
14 years 10 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
ICCV
2011
IEEE
14 years 4 months ago
Sparse Representation or Collaborative Representation: Which Helps Face Recognition?
As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse lin...
Lei Zhang, Meng Yang, Xiangchu Feng
FGR
2008
IEEE
232views Biometrics» more  FGR 2008»
15 years 10 months ago
3D face recognition from multiple images: A shape-from-motion approach
In this article we explore the use of methodologies for 3D reconstruction from multiple images to recognize faces. We try to devise a strategy to tackle the problem of recognizing...
Manuel Marques, João Costeira