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Geometric distortion measurement for shape coding: a contemporary review

Sohel, F. A.; Karmakar, G. C.; Dooley, L. S. and Bennamoun, M. (2011). Geometric distortion measurement for shape coding: a contemporary review. ACM Computing Surveys, 43(4) article 29.

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URL: http://csur.acm.org/
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1145/1978802.1978808
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Abstract

Geometric distortion measurement and the associated metrics involved are integral to the rate-distortion (RD) shape coding framework, with importantly the efficacy of the metrics being strongly influenced by the underlying measurement strategy. This has been the catalyst for many different techniques with this paper presenting a comprehensive review of geometric distortion measurement, the diverse metrics applied and their impact on shape coding. The respective performance of these measuring strategies is analysed from both a RD and complexity perspective, with a recent distortion measurement technique based on arc-length-parameterisation being comparatively evaluated. Some contemporary research challenges are also investigated, including schemes to effectively quantify shape deformation.

Item Type: Journal Article
Copyright Holders: 2011 Association for Computing Machinery
ISSN: 1557-7341
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 20425
Depositing User: Laurence Dooley
Date Deposited: 21 Jul 2010 09:54
Last Modified: 31 Jan 2014 14:35
URI: http://oro.open.ac.uk/id/eprint/20425
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