An experimental comparison of range image segmentation algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence1996Vol. 18(7), pp. 673–689
Citations Over TimeTop 1% of 1996 papers
Adam Hoover, G. Jean-Baptiste, Xiaoyi Jiang, Patrick J. Flynn, Horst Bunke, Dmitry B. Goldgof, Kevin W. Bowyer, Daniel Eggert, Andrew Fitzgibbon, Robert B. Fisher
Abstract
A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves (1) a common set of 40 laser range finder images and 40 structured light scanner images that have manually specified ground truth and (2) a set of defined 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 specified ground truth. Four research groups have contributed to evaluate their own algorithm for segmenting a range image into planar patches.
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