An experimental comparison of range image segmentation algorithms

1996782 citationsJournal Article

Authors

Adam Hoover · University of South Florida

G. Jean-Baptiste · University of South Florida

Xiaoyi Jiang · University of Bern

Patrick J. Flynn · Washington State University

Horst Bunke · University of Bern

Dmitry B. Goldgof · University of South Florida

Kevin W. Bowyer ·

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.

Topics & Keywords

Image and Object Detection Techniques Advanced Vision and Imaging Robotics and Sensor-Based Localization

Publication Details

Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence

Volume 18, Issue 7, pp. 673-689

DOI: 10.1109/34.506791

Field-Weighted Citation Impact: 23.38

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An experimental comparison of range image segmentation algorithms

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Abstract

Topics & Keywords

Publication Details