1918 search results - page 47 / 384 » Light Fields and Computational Imaging |
217
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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
107
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CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
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...
SIGGRAPH
1997
ACM
15 years 1 months ago
1997
ACM
We present a new Monte Carlo method for solving the light transport problem, inspired by the Metropolis sampling method in computational physics. To render an image, we generate a...
TIP
2008
14 years 9 months ago
2008
Structured light vision systems have been successfully used for accurate measurement of 3-D surfaces in computer vision. However, their applications are mainly limited to scanning ...