论文信息 - Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models

Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models

In the present paper, we propose a method for reconstructing the surfaces of objects from stereovision data. Both the fitness of stereo data to surfaces and interrelation between the surfaces are defined in the framework of a three-dimensional (3D) Markov random field (MRF) model. The surface reconstruction is accomplished by searching for the most likely state of the MRF model. An experimental result is shown for a real scene

Shinji Yamamoto | Hotaka Takizawa

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