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    Felizberta Lo Padilla Tong School of Social SciencesIp Ying To Lee Yu Yee School of Humanities and LanguagesRita Tong Liu School of Business and Hospitality ManagementS.K. Yee School of Health SciencesYam Pak Charitable Foundation School of Computing and Information Sciences
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Spin contour

Author(s)
Pang, Raymond Wai Man
Author(s)
Liang, L.
Wei, M.
Szymczak, A.
Wang, M.
Date Issued
2016
Publisher
IEEE
Journal
IEEE Transactions on Multimedia
Volume
18
Issue
11
Start page
2282
End page
2292
Abstract
Spin image is a powerful shape descriptor, useful in a point set or surface registration. However, the usage of spin images is hampered by issues such as sensitivity to noise and sampling rate and time-consuming matching process. We propose a novel spin-image-based local surface descriptor named spin contour to alleviate these problems. This descriptor is not an image but a 2-D point set. Comparisons show that the spin contour is robust to noise and sampling differences. The matching time is also improved over spin images.
URI
https://repository.sfu.edu.hk/handle/sfu/858
DOI
10.1109/TMM.2016.2614219
SFU Affiliated Publication
Yes
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