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SubmittedOpen Access (License Unspecified), Open
Journal article
Retrieving articulated 3-D models using medial surfaces
Machine vision and applications, v 19(4), pp 261-275
01 Jul 2008
Abstract
We consider the use of medial surfaces to represent symmetries of 3-D objects. This allows for a qualitative abstraction based on a directed acyclic graph of components and also a degree of invariance to a variety of transformations including the articulation of parts. We demonstrate the use of this representation for 3-D object model retrieval. Our formulation uses the geometric information associated with each node along with an eigenvalue labeling of the adjacency matrix of the subgraph rooted at that node. We present comparative retrieval results against the techniques of shape distributions (Osada et al.) and harmonic spheres (Kazhdan et al.) on 425 models from the McGill Shape Benchmark, representing 19 object classes. For objects with articulating parts, the precision vs recall curves using our method are consistently above and to the right of those of the other two techniques, demonstrating superior retrieval performance. For objects that are rigid, our method gives results that compare favorably with these methods.
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Details
- Title
- Retrieving articulated 3-D models using medial surfaces
- Creators
- Kaleem Siddiqi - McGill UniversityJuan Zhang - McGill UniversityDiego Macrini - University of TorontoAli Shokoufandeh - Drexel UniversitySylvain Bouix - Harvard University Medical School, Psychiatry Neuroimaging Laboratory, 02115, Boston, MA, USASven Dickinson - University of Toronto
- Publication Details
- Machine vision and applications, v 19(4), pp 261-275
- Publisher
- Springer Nature
- Number of pages
- 15
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000256261500005
- Scopus ID
- 2-s2.0-44349170022
- Other Identifier
- 991019168072704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics
- Engineering, Electrical & Electronic