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 no. 29.

DOI: https://doi.org/10.1145/1978802.1978808

URL: http://csur.acm.org/

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.

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About

• Item ORO ID
• 20425
• Item Type
• Journal Item
• ISSN
• 1557-7341
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2011 Association for Computing Machinery
• Depositing User
• Laurence Dooley