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CVPR
2005
IEEE
13 years 9 months ago
Dense Photometric Stereo Using Tensorial Belief Propagation
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
Kam-Lun Tang, Chi-Keung Tang, Tien-Tsin Wong
ICMCS
2009
IEEE
218views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Multi-view reconstruction under varying illumination conditions
This paper addresses the problem of complete and detailed 3D model reconstruction of objects filmed by multiple cameras under varying illumination. Firstly, initial normal maps ar...
Chenglei Wu, Yebin Liu, Xiangyang Ji, Qionghai Dai
3DIM
2005
IEEE
14 years 1 months ago
Efficient Photometric Stereo Technique for Three-Dimensional Surfaces with Unknown BRDF
The present paper focuses on efficient inverse rendering using a Photometric Stereo technique for realistic surfaces. The technique primarily assumes the Lambertian reflection mod...
Li Shen, Takashi Machida, Haruo Takemura
ICCV
2005
IEEE
14 years 9 months ago
Passive Photometric Stereo from Motion
We introduce an iterative algorithm for shape reconstruction from multiple images of a moving (Lambertian) object illuminated by distant (and possibly time varying) lighting. Star...
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, David J....
ECCV
2006
Springer
14 years 9 months ago
Dense Photometric Stereo by Expectation Maximization
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
Tai-Pang Wu, Chi-Keung Tang