• DocumentCode
    3696136
  • Title

    An optimization-based mesh-generation method for image representation

  • Author

    Seyedali Mostafavian;Michael D. Adams

  • Author_Institution
    Dept. of Electrical and Computer Engineering, University of Victoria, BC, V8P 5C2, Canada
  • fYear
    2015
  • Firstpage
    234
  • Lastpage
    239
  • Abstract
    In earlier work, Tu and Adams proposed the ERDED method, an effective technique for generating triangle-mesh models of digital images through explicit representation of discontinuities. In this paper, we propose a modified version of the ERDED method that generates a triangle mesh which better approximates the original image using an optimization-based algorithm. The proposed method is shown to produce image approximations of higher quality than those obtained by the ERDED method, both in terms of squared error and subjective quality. Moreover, this improvement in quality comes at a relatively modest computational cost, with the proposed method typically taking only a few seconds of computation time.
  • Keywords
    "Image edge detection","Wheels","Optimization","Computational modeling","Adaptation models","Lead","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on
  • Electronic_ISBN
    2154-5952
  • Type

    conf

  • DOI
    10.1109/PACRIM.2015.7334840
  • Filename
    7334840