A Statistical Consistency Check for the Space CarvingAlgorithm

A. Broadhurst, Roberto Cipolla · 2000

This paper investigates the use of the Space Carving algorithm with outdoor image sequences, using a lambertian lighting model. A new consistency function is proposed that uses a statistical comparison instead of the voxel centroid sampling that was initially proposed. This is important when there is more detail in the images than can be stored in a voxel representation. The new function is evaluated using synthetic data and real image sequences. 1 Introduction Many dierent techniques have been applied to the problem of reconstructing three-dimensional shape from image sequences. These techniques all work well for constrained problems, such as small camera baseline [6, 1, 2, 8], or smooth curved objects [4]. Recently voxel based algorithms [5, 9] have been demonstrated which can reconstruct very complex shapes, but at the cost of large memory requirements. One of these algorithms is called Space Carving [5] (see section 2.1 for a description). In this paper the eectiveness o...

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