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Regularization-based 3D object modeling from multiple range images

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3 Author(s)
Hara, K. ; Dept. of Electron. Technol., Fukuoka Ind. Technol. Center, Kitakyushu, Japan ; Hongbin Zha ; Hasegawa, T.

Several methods have been proposed for building 3D object models from multiple range images mainly on the basis of the deformable models and pseudo-dynamics. However, the patches are usually placed crossing over the edge regions, and the surface orientation discontinuities cannot be properly preserved as a result. This paper proposes a new 3D object modeling method that generates refined triangular meshes while preserving the surface discontinuities. We formulate the process into a problem of minimizing an energy functional by using the idea of line processes and Markov random fields. Moreover, we show that near-optimal solutions can be obtained by utilizing the continuation method

Published in:

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on  (Volume:2 )

Date of Conference:

16-20 Aug 1998