Photo-sketch synthesis and recognition based on subspace learning

Bing Xiao, Xinbo Gao*, Dacheng Tao, Yuan Yuan, Jie Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)840-852
Number of pages13
Issue number4-6
Early online date18 Nov 2009
Publication statusPublished - Jan 2010

Bibliographical note

Bayesian Networks / Design and Application of Neural Networks and Intelligent Learning Systems (KES 2008 / Bio-inspired Computing: Theories and Applications (BIC-TA 2007)


  • Embedded hidden Markov model
  • Image quilting
  • Pseudo-photo
  • Pseudo-sketch
  • Sketch-photo recognition


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