Bohm, J and Brenner, C (2000) Curvature based range image classification for object recognition. In: Casasent, DP, (ed.) INTELLIGENT ROBOTS AND COMPUTER VISION XIX: ALGORITHMS, TECHNIQUES, AND ACTIVE VISION. (pp. 211 - 220). SPIE-INT SOC OPTICAL ENGINEERING
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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 object. 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.
| Type: | Proceedings paper |
|---|---|
| Title: | Curvature based range image classification for object recognition |
| Event: | Conference on Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision |
| Location: | BOSTON, MA |
| Dates: | 2000-11-07 - 2000-11-08 |
| ISBN: | 0-8194-3862-6 |
| Keywords: | CAD, curvature, feature extraction, object recognition, SYSTEM |
| UCL classification: | UCL > School of BEAMS > Faculty of Engineering Science > Civil, Environmental and Geomatic Engineering |
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