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

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	Similar Articles Articles by Hotaka Takizawa Articles by Shinji Yamamoto

18th International Conference on Pattern Recognition (ICPR'06) Volume 1

Hong Kong

August 20-August 24

ISBN: 0-7695-2521-0

	ASCII Text	x
	Hotaka Takizawa, Shinji Yamamoto, "Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models," Pattern Recognition, International Conference on, vol. 1, pp. 27-30, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.1097, author = {Hotaka Takizawa and Shinji Yamamoto}, title = {Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2006}, issn = {1051-4651}, pages = {27-30}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1097}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models SN - 1051-4651 SP27 EP30 A1 - Hotaka Takizawa, A1 - Shinji Yamamoto, PY - 2006 KW - Stereo vision KW - Surface reconstruction KW - 3-D Markov random field model KW - 3-D discrete object models KW - Fitness KW - Interrelation VL - 1 JA - Pattern Recognition, International Conference on ER -

Hotaka Takizawa, University of Tsukuba, Japan

Shinji Yamamoto, Chukyo University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1097

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 (3-D) 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.

Index Terms:

Stereo vision, Surface reconstruction, 3-D Markov random field model, 3-D discrete object models, Fitness, Interrelation

Citation:

Hotaka Takizawa, Shinji Yamamoto, "Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models," icpr, vol. 1, pp.27-30, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006

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