IS-Match: Partial Shape Matching by Efficiently Solving an Order Preserving Assignment Problem
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- Donoser Michael
- Institute for Computer Graphics and Vision, Graz University of Technology
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- Riemenschneider Hayko
- Institute for Computer Graphics and Vision, Graz University of Technology
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- Bischof Horst
- Institute for Computer Graphics and Vision, Graz University of Technology
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Abstract
This paper introduces a novel efficient partial shape matching method named IS-Match. We use sampled points from the silhouette as a shape representation. The sampled points can be ordered which in turn allows to formulate the matching step as an order-preserving assignment problem. We propose an angle descriptor between shape chords combining the advantages of global and local shape description. An efficient integral image based implementation of the matching step is introduced which allows detecting partial matches an order of magnitude faster than comparable methods. We further show how the proposed algorithm is used to calculate a global optimal Pareto frontier to define a partial similarity measure between shapes. Shape retrieval experiments on standard shape datasets like MPEG-7 prove that state-of-the-art results are achieved at reduced computational costs.
Journal
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- IPSJ Transactions on Computer Vision and Applications
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IPSJ Transactions on Computer Vision and Applications 2 224-234, 2010
Information Processing Society of Japan
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Details 詳細情報について
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- CRID
- 1390001205291570304
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- NII Article ID
- 130000419288
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- NII Book ID
- AN00116647
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- ISSN
- 18827772
- 18826695
- 03875806
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- NDL BIB ID
- 024316190
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed