18th International Conference on Pattern Recognition (ICPR'06) Volume 2 Bin-Picking based on Harmonic Shape Contexts and Graph-Based Matching Hong Kong August 20-August 24 ISBN: 0-7695-2521-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.325
In this work we address the general bin-picking problem where 3D data is available. We apply Harmonic Shape Contexts (HSC) features since these are invariant to translation, scale, and 3D rotation. Each object is divided into a number of sub-models each represented by a number of HSC features. These are compared with HSC features extracted in the current data using a graph-based scheme. Results show that the approach is somewhat sensitive to noise, but works in presence of occlusion.
Citation:
J. Kirkegaard, T.B. Moeslund, "Bin-Picking based on Harmonic Shape Contexts and Graph-Based Matching," icpr, vol. 2, pp.581-584, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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