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» The CMU Pose, Illumination, and Expression (PIE) Database
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FGR
2002
IEEE
1757views Biometrics» more  FGR 2002»
13 years 10 months ago
The CMU Pose, Illumination, and Expression (PIE) Database
Between October 2000 and December 2000 we collected a database of over 40,000 facial images of 68 people. Using the CMU 3D Room we imaged each person across 13 different poses, un...
Terence Sim, Simon Baker, Maan Bsat
FGR
2008
IEEE
258views Biometrics» more  FGR 2008»
13 years 11 months ago
Multi-PIE
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a contro...
Ralph Gross, Iain Matthews, Jeffrey F. Cohn, Takeo...
CVPR
2005
IEEE
14 years 7 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
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...
DICTA
2003
13 years 6 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao