Curvature-based range image classification for object recognition

Jan Boehm; Claus Brenner

doi:10.1117/12.403765

11 October 2000 Curvature-based range image classification for object recognition

Jan Boehm, Claus Brenner

Proceedings Volume 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision; (2000) https://doi.org/10.1117/12.403765
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

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.

Citation Download Citation

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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