Photo-sketch synthesis and recognition based on subspace learning

  • Authors:
  • Bing Xiao;Xinbo Gao;Dacheng Tao;Yuan Yuan;Jie Li

  • Affiliations:
  • School of Electronic Engineering, Xidian University, Xi'an, China;School of Electronic Engineering, Xidian University, Xi'an, China;School of Computer Engineering, Nanyang Technological University, Singapore;School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, United Kingdom;School of Electronic Engineering, Xidian University, Xi'an, China

  • Venue:
  • Neurocomputing
  • Year:
  • 2010

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Abstract

This paper aims to reducing difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then performing sketch-sketch/photo-photo recognition with subspace learning based methods. Pseudo-sketch/pseudo-photo patches are synthesized with embedded hidden Markov model. Because these patches are assembled by averaging their overlapping area in most of the local strategy based methods, which leads to blurring effect to the resulted pseudo-sketch/pseudo-photo, we integrate the patches with image quilting. Experiments are carried out to demonstrate that the proposed method is effective to produce pseudo-sketch/pseudo-photo with high quality and achieve promising recognition results.