| dc.contributor.author | Toldo, Roberto | en_US |
| dc.contributor.author | Castellani, Umberto | en_US |
| dc.contributor.author | Fusiello, Andrea | en_US |
| dc.contributor.editor | Michela Spagnuolo and Ioannis Pratikakis and Remco Veltkamp and Theoharis Theoharis | en_US |
| dc.date.accessioned | 2013-10-21T18:00:31Z | |
| dc.date.available | 2013-10-21T18:00:31Z | |
| dc.date.issued | 2009 | en_US |
| dc.identifier.isbn | 978-3-905674-16-3 | en_US |
| dc.identifier.issn | 1997-0463 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/3DOR/3DOR09/021-028 | en_US |
| dc.description.abstract | In this paper a novel object signature is proposed for 3D object retrieval and partial matching. A part-based representation is obtained by partitioning the objects into subparts and by characterizing each segment with different geometric descriptors. Therefore, a Bag ofWords framework is introduced by clustering properly such descriptors in order to define the so called 3D visual vocabulary. In this fashion, the object signature is defined as a histogram of 3D visual word occurrences. Several examples on the Aim@Shape watertight dataset demonstrate the versatility of the proposed method in matching either 3D objects with articulated shape changes or partially occluded or compound objects. In particular, a comparison with the methods that participated to the Shape Retrieval contest 2007 (SHREC) reports satisfactory results for both object retrieval and partial matching. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Visual Vocabulary Signature for 3D Object Retrieval and Partial Matching | en_US |
| dc.description.seriesinformation | Eurographics 2009 Workshop on 3D Object Retrieval | en_US |
