Spin images for retrieval of 3D objects by local and global similarity

@inproceedings{citeulike:1234292, abstract = {The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play a key role. In this paper, we present a novel approach to global and local content-based retrieval of 3D objects that is based on spin images. Spin images are used to derive a view-independent description of both database and query objects. A set of spin images is first created for each object and the parts it is composed of; then, a descriptor is evaluated for each spin image in the set; clustering is performed on the set of image-based descriptors of each object to achieve a compact representation. Experimental results are presented for a test database of about 300 models, showing the effectiveness of retrieval for both object and part similarity.}, author = {Assfalg, J. and Del Bimbo, A. and Pala, P. }, citeulike-article-id = {1234292}, journal = {Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on}, keywords = {image, spin}, pages = {906--909 Vol.3}, posted-at = {2007-04-22 10:23:35}, priority = {4}, title = {Spin images for retrieval of 3D objects by local and global similarity}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1334675}, volume = {3}, year = {2004} }

TY - CONF ID - citeulike:1234292 L3 - citeulike-article-id:1234292 TI - Spin images for retrieval of 3D objects by local and global similarity JF - Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on VL - 3 SP - 906 EP - 909 Vol.3 N2 - The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play a key role. In this paper, we present a novel approach to global and local content-based retrieval of 3D objects that is based on spin images. Spin images are used to derive a view-independent description of both database and query objects. A set of spin images is first created for each object and the parts it is composed of; then, a descriptor is evaluated for each spin image in the set; clustering is performed on the set of image-based descriptors of each object to achieve a compact representation. Experimental results are presented for a test database of about 300 models, showing the effectiveness of retrieval for both object and part similarity. KW - image KW - spin AU - Assfalg, J AU - Del Bimbo, A AU - Pala, P PY - 2004/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1334675 ER -