Surface Reconstruction from Stereo Data Using a Three-Dimensional Markov Random Field Model(Stereo and Multiple View Analysis,<Special Section>Machine Vision Applications)
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概要
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In the present paper, we propose a method for reconstructing the surfaces of objects from stereo data. Both the fitness of stereo data to surfaces and interrelation between the surfaces are defined in the framework of a three-dimensional (3-D) Markov Random Field (MRF) model. The surface reconstruction is accomplished by searching for the most likely state of the MRF model. Three experimental results are shown for synthetic and real stereo data.
- 社団法人電子情報通信学会の論文
- 2006-07-01
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