Title :
Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models
Author :
Takizawa, Hotaka ; Yamamoto, Shinji
Author_Institution :
Tsukuba Univ.
Abstract :
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
Keywords :
Markov processes; computer vision; edge detection; image matching; image reconstruction; object recognition; stereo image processing; 3D Markov random field model; discrete object models; object surface reconstruction; stereovision data; Cameras; Computer vision; Image reconstruction; Layout; Markov random fields; Object recognition; Pattern recognition; Solid modeling; Stereo vision; Surface reconstruction; 3-D; 3-D discrete object models; Fitness; Interrelation; Markov random field model; Stereo vision; Surface reconstruction;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.1097
