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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
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa48784
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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 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.
Keywords: Shape analysis, computer graphics
College: Faculty of Science and Engineering
Start Page: 31
End Page: 45

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