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11 October 2000 Curvature-based range image classification for object recognition
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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 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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Boehm and Claus Brenner "Curvature-based range image classification for object recognition", Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); https://doi.org/10.1117/12.403765
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