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.
Description
@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}
}