Deformable geometry model matching by topological and geometric signatures

In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we propose “Bi-directional LSD analysis” to locate reliable topological points and rings. Second, based on these points and ri...

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Main Authors: TAM, Kwok-Leung, LAW, Rynson W.H., NGO, Chong-wah
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/6565
https://ink.library.smu.edu.sg/context/sis_research/article/7568/viewcontent/10.1.1.74.7395.pdf
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spelling sg-smu-ink.sis_research-75682022-01-10T03:30:09Z Deformable geometry model matching by topological and geometric signatures TAM, Kwok-Leung LAW, Rynson W.H. NGO, Chong-wah In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we propose “Bi-directional LSD analysis” to locate reliable topological points and rings. Second, based on these points and rings, a set of bounded regions are extracted as topological features. Third, for each bounded region, we capture additional spatial location, curvature and area distribution as geometric data. Fourth, to model the topological importance of each bounded region, we capture its effective area as weight. By using “Earth Mover Distance” as a distance measure between two models, our method can achieve a high accuracy in our retrieval experiment, with precision of 0.53 even at recall rate of 1.0. 2004-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6565 info:doi/10.1109/ICPR.2004.1334676 https://ink.library.smu.edu.sg/context/sis_research/article/7568/viewcontent/10.1.1.74.7395.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Graphics and Human Computer Interfaces
spellingShingle Computer Sciences
Graphics and Human Computer Interfaces
TAM, Kwok-Leung
LAW, Rynson W.H.
NGO, Chong-wah
Deformable geometry model matching by topological and geometric signatures
description In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we propose “Bi-directional LSD analysis” to locate reliable topological points and rings. Second, based on these points and rings, a set of bounded regions are extracted as topological features. Third, for each bounded region, we capture additional spatial location, curvature and area distribution as geometric data. Fourth, to model the topological importance of each bounded region, we capture its effective area as weight. By using “Earth Mover Distance” as a distance measure between two models, our method can achieve a high accuracy in our retrieval experiment, with precision of 0.53 even at recall rate of 1.0.
format text
author TAM, Kwok-Leung
LAW, Rynson W.H.
NGO, Chong-wah
author_facet TAM, Kwok-Leung
LAW, Rynson W.H.
NGO, Chong-wah
author_sort TAM, Kwok-Leung
title Deformable geometry model matching by topological and geometric signatures
title_short Deformable geometry model matching by topological and geometric signatures
title_full Deformable geometry model matching by topological and geometric signatures
title_fullStr Deformable geometry model matching by topological and geometric signatures
title_full_unstemmed Deformable geometry model matching by topological and geometric signatures
title_sort deformable geometry model matching by topological and geometric signatures
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/sis_research/6565
https://ink.library.smu.edu.sg/context/sis_research/article/7568/viewcontent/10.1.1.74.7395.pdf
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