A probabilistic framework for space carving

Abstract
This paper introduces a new probabilistic framework for Space Carving (9). In this framework each voxel is as- signed a probability, which is computed by comparing the likelihoods for the voxel existing and not existing. This new framework avoids many of the difficulties asso- ciated with the original Space Carving algorithm. Specifi- cally, it does not need a global threshold parameter, and it guarantees that no holes will be carved in the model. This paper also proposes that a voxel-based thick texture is a re- alistic and efficient representation for scenes which contain dominant planes. The algorithm is tested using both real and synthetic data, and both qualitative and quantitative results are presented.

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