... accepted for ICCV2001 

A Probabilistic Framework for Space Carving
  - A. Broadhurst, T. Drummond and R. Cipolla

ABSTRACT

This paper introduces a new probabilistic framework for Space Carving.  
In this framework each voxel is assigned a probability, which is
computed by comparing the likelihoods for the voxel existing and not
existing.

This new framework avoids many of the difficulties associated with the
original Space Carving algorithm. Specifically, 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 realistic 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.