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Proceedings Paper

Curvature-based range image classification for object recognition
Author(s): Jan Boehm; Claus Brenner
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Paper Abstract

This work focuses on the extraction of features from dense range images for object recognition. The object recognition process is based on a CAD model of the subject. Curvature information derived from the CAD model is used to support the feature extraction process. We perform a curvature based classification of the range image to achieve a segmentation into meaningful surface patches, which are later to be matched with the surfaces of the CAD model.

Paper Details

Date Published: 11 October 2000
PDF: 10 pages
Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); doi: 10.1117/12.403765
Show Author Affiliations
Jan Boehm, Univ. of Stuttgart (Germany)
Claus Brenner, Univ. of Stuttgart (Germany)


Published in SPIE Proceedings Vol. 4197:
Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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