Range Image Segmentation : The User ' s

A methodology for evaluating range image segmen-tation algorithms is proposed. This methodology involves (a) a common set of images that have manually speciied ground truth and (b) a set of deened performance metrics for instances of correctly segmented , missed and noise regions, over-and under-segmentation, and accuracy of the recovered geometry. A tool is used to objectively compare a machine generated segmentation against the speciied ground truth. Three research groups have contributed to evaluate their own algorithm for segmenting a range image into planar patches.

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