LINE SIMPLIFICATIONS FROM AR MODEL

DOI IR (HANDLE)

Bibliographic Information

Other Title
  • ARモデルからの区分線形の簡単化

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Description

This paper describes a line simplification algorithm combining self-organization and auto-regression, and the algorithm keeps a quality for drawing simplified lines even when scaled. A self-organization enables us a microscopic autonomous behavior to produce macro structures, and plays a coordination which reflects to every two neighbor vertices. On the other hand, auto-regression maintains the shape of original lines, so the regression tries to track the original features as much as possible by considering lines locally as time series. Our contributions are to show that the two models work well together and give us positive results by complementing each other without losing the original essential features. Finally, we present some experimental results showing our usefulness.

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Details 詳細情報について

  • CRID
    1390572175485211008
  • NII Article ID
    120007119567
  • NII Book ID
    AA12677220
  • DOI
    10.15002/00024008
  • HANDLE
    10114/00024008
  • ISSN
    21879923
  • Text Lang
    ja
  • Article Type
    departmental bulletin paper
  • Data Source
    • JaLC
    • IRDB
    • CiNii Articles
  • Abstract License Flag
    Allowed

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