Copyright © 2012 Xuewei Li and Xiaochun Cao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper proposes a simple framework for face photo-sketch synthesis. We first describe the shadow details on faces and extract the prominent facial feature by two-scale decomposition using bilateral filtering. Then, we enhance the hair and some unapparent facial feature regions by combining the edge map and hair color similarity map. Finally, we obtain the face photo sketch by adding the results of the two processes. Compared with current methods, the proposed framework demands non feature localization, training or iteration process, creating vivid hair in sketch synthesis, and process arbitrary lighting conditions of input images, especially for complex self-shadows. And more importantly, it can be easily expanded to natural scene. The effectiveness of the presented framework is evaluated on a variety of databases.