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» Face Recognition Using Shape and Texture
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148
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ACII
2005
Springer
15 years 5 months ago
The Bunch-Active Shape Model
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...
Jingcai Fan, Hongxun Yao, Wen Gao, Yazhou Liu, Xin...
163
Voted
AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
15 years 10 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs
170
Voted
PAMI
2012
13 years 6 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
150
Voted
CVPR
2007
IEEE
16 years 5 months ago
Pose and Illumination Invariant Face Recognition in Video
The use of video sequences for face recognition has been relatively less studied than image-based approaches. In this paper, we present a framework for face recognition from video...
Yilei Xu, Amit K. Roy Chowdhury, Keyur Patel
168
Voted
ICIP
2006
IEEE
16 years 5 months ago
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
This paper proposes a novel facial expression recognition approach based on two sets of features extracted from the face images: texture features and global appearance features. T...
Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeu...