{"extern":"1","doi":"10.1109/cvpr.2012.6247671","month":"07","date_updated":"2024-12-04T12:27:48Z","scopus_import":"1","article_number":"6247671","date_created":"2024-10-15T11:20:54Z","type":"conference","author":[{"first_name":"I.","full_name":"Kokkinos, I.","last_name":"Kokkinos"},{"first_name":"M. M.","full_name":"Bronstein, M. M.","last_name":"Bronstein"},{"full_name":"Litman, R.","first_name":"R.","last_name":"Litman"},{"last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","first_name":"Alexander","orcid":"0000-0001-9699-8730"}],"publication_identifier":{"eissn":["1063-6919"],"isbn":["9781467312264"]},"year":"2012","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publisher":"IEEE","date_published":"2012-07-26T00:00:00Z","oa_version":"None","title":"Intrinsic shape context descriptors for deformable shapes","conference":{"location":"Providence, RI, United States","name":"IEEE Conference on Computer Vision and Pattern Recognition","end_date":"2012-06-21","start_date":"2012-06-16"},"language":[{"iso":"eng"}],"publication_status":"published","publication":"2012 IEEE Conference on Computer Vision and Pattern Recognition","_id":"18378","day":"26","status":"public","article_processing_charge":"No","quality_controlled":"1","abstract":[{"lang":"eng","text":"In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of the image domain used in shape contexts: for this purpose, we chart the surface by shooting geodesic outwards from the point being analyzed; `angle' is treated as tantamount to geodesic shooting direction, and radius as geodesic distance. To deal with orientation ambiguity, we exploit properties of the Fourier transform. Our charting method is intrinsic, i.e., invariant to isometric shape transformations. The resulting descriptor is a meta-descriptor that can be applied to any photometric or geometric property field defined on the shape, in particular, we can leverage recent developments in intrinsic shape analysis and construct ISC based on state-of-the-art dense shape descriptors such as heat kernel signatures. Our experiments demonstrate a notable improvement in shape matching on standard benchmarks."}],"citation":{"short":"I. Kokkinos, M.M. Bronstein, R. Litman, A.M. Bronstein, in:, 2012 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2012.","ista":"Kokkinos I, Bronstein MM, Litman R, Bronstein AM. 2012. Intrinsic shape context descriptors for deformable shapes. 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition, 6247671.","ama":"Kokkinos I, Bronstein MM, Litman R, Bronstein AM. Intrinsic shape context descriptors for deformable shapes. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE; 2012. doi:10.1109/cvpr.2012.6247671","ieee":"I. Kokkinos, M. M. Bronstein, R. Litman, and A. M. Bronstein, “Intrinsic shape context descriptors for deformable shapes,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, United States, 2012.","mla":"Kokkinos, I., et al. “Intrinsic Shape Context Descriptors for Deformable Shapes.” 2012 IEEE Conference on Computer Vision and Pattern Recognition, 6247671, IEEE, 2012, doi:10.1109/cvpr.2012.6247671.","chicago":"Kokkinos, I., M. M. Bronstein, R. Litman, and Alex M. Bronstein. “Intrinsic Shape Context Descriptors for Deformable Shapes.” In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2012. https://doi.org/10.1109/cvpr.2012.6247671.","apa":"Kokkinos, I., Bronstein, M. M., Litman, R., & Bronstein, A. M. (2012). Intrinsic shape context descriptors for deformable shapes. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, United States: IEEE. https://doi.org/10.1109/cvpr.2012.6247671"}}