Volumetric object reconstruction using the 3D-MRF model-based segmentation.

S M Choi; J E Lee; J Kim; M H Kim

doi:10.1109/42.650884

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Volumetric object reconstruction using the 3D-MRF model-based segmentation.

S M Choi·J E Lee·J Kim·M H Kim

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Abstract

A number of segmentation algorithms have been developed, but those algorithms are not effective on volume reconstruction because they are limited to operating only on two-dimensional (2-D) images. In this paper, we propose the volumetric object reconstruction method using the three-dimensional Markov random field (3D-MRF) model-based segmentation. The 3D-MRF model is known to be one of efficient ways to model spatial contextual information. The method is compared with the 2-D region growing scheme under three types of interpolation. The results show that the proposed method is better in the aspect of image quality than other methods.

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S M Choi, J E Lee, J Kim, M H Kim. 1997. Volumetric object reconstruction using the 3D-MRF model-based segmentation.. https://doi.org/10.1109/42.650884

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