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.
Spin images for retrieval of 3D objects by local and global similarity / ASSFALG J.; DEL BIMBO A.; P. PALA. - STAMPA. - (2004), pp. 906-909. (Intervento presentato al convegno Int. Conf. on Pattern Recognition nel 23-26 August) [10.1109/ICPR.2004.1334675].
Spin images for retrieval of 3D objects by local and global similarity
DEL BIMBO, ALBERTO;PALA, PIETRO
2004
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.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.