An experimental comparison of range image segmentation algorithms
Hoover, A.
Jean-Baptiste, G.
Jiang, X.
Flynn, P.J.
Bunke, H.
Goldgof, D.B.
Bowyer, K.
Eggert, D.W.
Fitzgibbon, A.
Fisher, R.B.
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1996
Volume: 18,
Issue: 7
On page(s): 673-689
ISSN: 0162-8828
References Cited: 43
CODEN: ITPIDJ
INSPEC Accession Number: 5349781
Digital Object Identifier: 10.1109/34.506791
Current Version Published: 2002-08-06
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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