Visual Vocabulary Signature for 3D Object Retrieval and Partial Matching

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Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
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@inproceedings{
:10.2312/3DOR/3DOR09/021-028
, booktitle = {
Eurographics 2009 Workshop on 3D Object Retrieval
}, editor = {
Michela Spagnuolo and Ioannis Pratikakis and Remco Veltkamp and Theoharis Theoharis
}, title = {{
Visual Vocabulary Signature for 3D Object Retrieval and Partial Matching
}}, author = {
Toldo, Roberto
and
Castellani, Umberto
and
Fusiello, Andrea
}, year = {
2009
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0463
}, ISBN = {
978-3-905674-16-3
}, DOI = {
/10.2312/3DOR/3DOR09/021-028
} }
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