Curvature based range image classification for object recognition.
In: Casasent, DP, (ed.)
(Proceedings) Conference on Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision.
(pp. pp. 211-220).
SPIE-INT SOC OPTICAL ENGINEERING
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.
|Title:||Curvature based range image classification for object recognition|
|Event:||Conference on Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision|
|Dates:||07 November 2000 - 08 November 2000|
|Keywords:||CAD, curvature, feature extraction, object recognition, SYSTEM|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Civil, Environmental and Geomatic Engineering
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