Title :
Face sketch synthesis and recognition
Author :
Tang, Xiaoou ; Wang, Xiaogang
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
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.
Keywords :
belief networks; eigenvalues and eigenfunctions; face recognition; image matching; image retrieval; image texture; learning (artificial intelligence); visual databases; Bayesian classifier; eigentransformation algorithm; face photo retrieval system; face recognition; face sketch synthesis; image matching; image texture information; training data set; Bayesian methods; Face detection; Face recognition; Image databases; Image reconstruction; Information retrieval; Principal component analysis; Shape; Spatial databases; Testing;
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
DOI :
10.1109/ICCV.2003.1238414
