An experimental comparison of range image segmentation algorithms

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 corr...

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Bibliographic Details

Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 18; no. 7; pp. 673 - 689
Main Authors:	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.
Format:	Journal Article
Language:	English
Published:	IEEE 01.07.1996
Subjects:	Artificial intelligence Computer vision Geometrical optics Geometry Image segmentation Laser noise Measurement standards Pixel Shape Testing
ISSN:	0162-8828, 2160-9292
Online Access:	Get full text
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