Geometric Distortion Measurement for Shape Coding: A Contemporary Review

Ferdous Sohel, G.C. Karmakar, L.S. Dooley, Mohammed Bennamoun

    Research output: Contribution to journalArticle

    7 Citations (Scopus)

    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 article 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 analyzed from both a RD and complexity perspective, with a recent distortion measurement technique based on arc-length-parameterization being comparatively evaluated. Some contemporary research challenges are also investigated, including schemes to effectively quantify shape deformation.
    Original languageEnglish
    Pages (from-to)1-22
    JournalACM Computing Surveys
    Volume43
    Issue number4
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Rate-distortion
    Coding
    Metric
    Arc length
    Measurement Techniques
    Catalyst
    Parameterization
    Efficacy
    Quantify
    Review
    Catalysts
    Strategy
    Framework

    Cite this

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    Geometric Distortion Measurement for Shape Coding: A Contemporary Review. / Sohel, Ferdous; Karmakar, G.C.; Dooley, L.S.; Bennamoun, Mohammed.

    In: ACM Computing Surveys, Vol. 43, No. 4, 2011, p. 1-22.

    Research output: Contribution to journalArticle

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