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Statistically Learned Deformable Eye Models

  • Joan Alabort-i-MedinaEmail author
  • Bingqing Qu
  • Stefanos Zafeiriou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8925)

Abstract

In this paper we study the feasibility of using standard deformable model fitting techniques to accurately track the deformation and motion of the human eye. To this end, we propose two highly detailed shape annotation schemes (open and close eyes), with \(+30\) feature landmark points, high resolution eye images. We build extremely detailed Active Appearance Models (AAM), Constrained Local Models (CLM) and Supervised Descent Method (SDM) models of the human eye and report preliminary experiments comparing the relative performance of the previous techniques on the problem of eye alignment.

Keywords

Eye alignment Eye tracking Active appearance models Constrained local models Supervised descent method 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Joan Alabort-i-Medina
    • 1
    Email author
  • Bingqing Qu
    • 1
  • Stefanos Zafeiriou
    • 1
  1. 1.Imperial College LondonLondonUK

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