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CVPR
2005
IEEE
13 years 7 months ago
Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable M
Understanding and modifying the effects of arbitrary illumination on human faces in a realistic manner is a challenging problem both for face synthesis and recognition. Recent res...
Lei Zhang 0002, Sen Wang, Dimitris Samaras
AMFG
2003
IEEE
126views Biometrics» more  AMFG 2003»
13 years 11 months ago
Rank Constrained Recognition under Unknown Illuminations
Recognition under illumination variations is a challenging problem. The key is to successfully separate the illumination source from the observed appearance. Once separated, what ...
Shaohua Kevin Zhou, Rama Chellappa
CVPR
2003
IEEE
14 years 7 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
13 years 11 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak
PAMI
2006
221views more  PAMI 2006»
13 years 5 months ago
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
Lei Zhang 0002, Dimitris Samaras