Face sketch synthesis and recognition

Author

Tang, Xiaoou ; Wang, Xiaogang

Author_Institution

Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China

fYear

2003

fDate

13-16 Oct. 2003

Firstpage

687

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on

Conference_Location

Nice, France

Print_ISBN

0-7695-1950-4

Type

conf

DOI

10.1109/ICCV.2003.1238414

Filename

1238414