In this paper, we propose a novel face photo retrieval system using sketch drawings. By transforming a photo image into a sketch, we reduce the difference between photo and sketch significantly, thus allow effective matching between the two. To improve the synthesis performance, we separate shape and texture information in a face photo, and conduct transformation on them respectively. Finally a Bayesian classifier is used to recognize the probing sketch from the synthesized pseudo-sketches. Experiments on a data set containing 606 people clearly demonstrate the efficacy of the algorithm.
Tang and Wang REF propose a sketch synthesis method based on separate transformation of photo texture and shape, and design a Bayesian classifier to recognize the probing real sketch from the synthesized pseudo sketches.
Face sketch synthesis and recognition
Proceedings Ninth IEEE International Conference on Computer Vision
Proceedings Ninth IEEE International Conference on Computer Vision
Computer Science