A Hough Transform for Detecting Facial Symmetry Axis

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説明

We propose a method for detecting a facial symmetry axis from a frontal face image. The proposed method adopts a voting procedure like Hough transform that transforms a set of edge points into perpendicular bisectors of two different edge points selected from the set. The initial guess of a symmetry axis is adjusted accurately by the following fine tuning procedure. Experimental results show that the proposed method correctly detects facial symmetry axes from real face images visually and quantitatively.

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詳細情報 詳細情報について

  • CRID
    1050298532703720960
  • DOI
    10.12792/jiiae.10.53
  • ISSN
    21878811
    21881758
  • HANDLE
    2324/5068306
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • Crossref
    • KAKEN
    • OpenAIRE

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