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» A Bilinear Illumination Model for Robust Face Recognition
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FGR
2008
IEEE
218views Biometrics» more  FGR 2008»
14 years 1 months ago
Model-based reconstruction for illumination variation in face images
We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontr...
B. J. Boom, Luuk J. Spreeuwers, Raymond N. J. Veld...
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
13 years 9 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi
AVBPA
2005
Springer
350views Biometrics» more  AVBPA 2005»
14 years 28 days 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...
IEICET
2006
40views more  IEICET 2006»
13 years 7 months ago
Robust Face Recognition under Various Illumination Conditions
Atsushi Matsumoto, Yoshiaki Shirai, Nobutaka Shima...
PR
2007
136views more  PR 2007»
13 years 6 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi