Eyeglasses removal from facial images

  • Authors:
  • Cheng Du;Guangda Su

  • Affiliations:
  • Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and System, Tsinghua University, Beijing 100084, PR China;Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and System, Tsinghua University, Beijing 100084, PR China

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2005

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Abstract

A novel approach of removing eyeglasses from frontal facial images is proposed. The region occluded by eyeglasses is firstly detected; a natural looking eyeglassless facial image is then synthesized by recursive error compensation of PCA reconstruction. The synthesized images have neither trace of the eyeglasses, nor the reflection and shade caused by the eyeglasses. Experimental results show that our method can effectively synthesize eyeglassless facial images.