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Consistent segment-wise matching with multi-layer graphs

Taiwei Wang, David George, Yu-Kun Lai, Xianghua Xie Orcid Logo, Gary K.L. Tam

Computer Aided Geometric Design, Volume: 70, Pages: 31 - 45

Swansea University Author: Xianghua Xie Orcid Logo

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DOI (Published version): 10.1016/j.cagd.2019.04.003

Abstract

Segment-wise matching is an important problem for higher-level understanding of shapes and geometry analysis. Many existing segment-wise matching techniques assume perfect segmentation, and would suffer from imperfect or over-segmentation inputs. To handle this shortcoming, we propose a multi-layer...

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Published in: Computer Aided Geometric Design
ISSN: 01678396
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa48784
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first_indexed 2019-02-11T11:58:09Z
last_indexed 2019-07-18T15:33:08Z
id cronfa48784
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spelling 2019-07-18T13:52:34.9520714 v2 48784 2019-02-09 Consistent segment-wise matching with multi-layer graphs b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2019-02-09 SCS Segment-wise matching is an important problem for higher-level understanding of shapes and geometry analysis. Many existing segment-wise matching techniques assume perfect segmentation, and would suffer from imperfect or over-segmentation inputs. To handle this shortcoming, we propose a multi-layer graph (MLG) to represent possible partially merged segments of input shape. We adapt the diffusion pruning technique on the MLGs to find high quality segment-wise matching. Experimental results on man-made shapes demonstrate the effectiveness of our method. Journal Article Computer Aided Geometric Design 70 31 45 01678396 Shape analysis, computer graphics 31 12 2019 2019-12-31 10.1016/j.cagd.2019.04.003 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2019-07-18T13:52:34.9520714 2019-02-09T11:42:53.7189699 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Taiwei Wang 1 David George 2 Yu-Kun Lai 3 Xianghua Xie 0000-0002-2701-8660 4 Gary K.L. Tam 5 0048784-07052019130020.pdf 48784.pdf 2019-05-07T13:00:20.5130000 Output 4086577 application/pdf Accepted Manuscript true 2020-04-04T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Consistent segment-wise matching with multi-layer graphs
spellingShingle Consistent segment-wise matching with multi-layer graphs
Xianghua Xie
title_short Consistent segment-wise matching with multi-layer graphs
title_full Consistent segment-wise matching with multi-layer graphs
title_fullStr Consistent segment-wise matching with multi-layer graphs
title_full_unstemmed Consistent segment-wise matching with multi-layer graphs
title_sort Consistent segment-wise matching with multi-layer graphs
author_id_str_mv b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Xianghua Xie
author2 Taiwei Wang
David George
Yu-Kun Lai
Xianghua Xie
Gary K.L. Tam
format Journal article
container_title Computer Aided Geometric Design
container_volume 70
container_start_page 31
publishDate 2019
institution Swansea University
issn 01678396
doi_str_mv 10.1016/j.cagd.2019.04.003
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description Segment-wise matching is an important problem for higher-level understanding of shapes and geometry analysis. Many existing segment-wise matching techniques assume perfect segmentation, and would suffer from imperfect or over-segmentation inputs. To handle this shortcoming, we propose a multi-layer graph (MLG) to represent possible partially merged segments of input shape. We adapt the diffusion pruning technique on the MLGs to find high quality segment-wise matching. Experimental results on man-made shapes demonstrate the effectiveness of our method.
published_date 2019-12-31T03:59:26Z
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score 11.016235

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