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ICPR
2008
IEEE
14 years 5 months ago
On averaging face images for recognition under pose variations
Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or a...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao
MVA
2007
309views Computer Vision» more  MVA 2007»
13 years 4 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 ...
ICB
2007
Springer
112views Biometrics» more  ICB 2007»
13 years 10 months ago
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose
Face recognition systems have to deal with the problem that not all variations of all persons can be enrolled. Rather, the variations of most persons must be modeled. Explicit mode...
Marco K. Müller, Alexander Heinrichs, Andreas...
AVBPA
2005
Springer
350views Biometrics» more  AVBPA 2005»
13 years 10 months ago
Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction
Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting c...
Xiujuan Chai, Laiyun Qing, Shiguang Shan, Xilin Ch...
CVPR
2005
IEEE
14 years 6 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen