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CVPR
2005
IEEE
13 years 7 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
ECCV
2002
Springer
14 years 7 months ago
Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction
We present a method ? termed Helmholtz stereopsis ? for reconstructing the geometry of objects from a collection of images. Unlike existing methods for surface reconstruction (e.g...
Todd Zickler, Peter N. Belhumeur, David J. Kriegma...
CVPR
2001
IEEE
14 years 7 months ago
Photometric Stereo with General, Unknown Lighting
Work on photometric stereo has shown how to recover the shape and reflectance properties of an object using multiple images taken with a fixed viewpoint and variable lighting cond...
Ronen Basri, David W. Jacobs
IVCNZ
1998
13 years 6 months ago
Towards 3D Model Reconstruction from Photometric Stereo
In this highly technological world, various methods have been developed for the purpose of recovering the shape of 3D objects from 2D images. In this paper, we introduce methods t...
Angela Kar-Man Ng, Karsten Schlüns
ECCV
2006
Springer
14 years 7 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