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Multi-view 3D retrieval using silhouette intersection and multi-scale contour representation

Napoléon, Thibault, Adamek, Tomasz, Schmitt, Francis and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2007) Multi-view 3D retrieval using silhouette intersection and multi-scale contour representation. In: SHREC 2007 - Shape Retrieval Contest, 13-15 June 2007, Lyon, France.

Abstract
We describe in this paper two methods for 3D shape indexing and retrieval that we apply on two data collections of the SHREC - SHape Retrieval Contest 2007: Watertight models and 3D CAD models. Both methods are based on a set of 2D multi-views after a pose and scale normalization of the models using PCA and the enclosing sphere. In all views we extract the models silhouettes and compare them pairwise. In the first method the similitude measure is obtained by integrating on the pairs of views the difference between the areas of the silhouettes union and the silhouettes intersection. In the second method we consider the external contour of the silhouettes, extract their convexities and concavities at different scale levels and build a multiscale representation. The pairs of contours are then compared by elastic matching achieved by using dynamic programming. Comparisons of the two methods are shown with their respective strengths and weaknesses.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:Presented at a special session of SMI'07, Shape Modeling International 2007, Lyon, France, 13-15 June 2007
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Official URL:http://www.aimatshape.net/event/SHREC/shrec07
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6-027026
ID Code:271
Deposited On:10 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 12:03
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