Sohel, F. A.; Karmakar, G. C.; Dooley, L. S. and Bennamoun, M.
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|DOI (Digital Object Identifier) Link:||http://doi.org/10.1145/1978802.1978808|
|Google Scholar:||Look up in Google Scholar|
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|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Laurence Dooley|
|Date Deposited:||21 Jul 2010 09:54|
|Last Modified:||03 Aug 2016 05:02|
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