 |
    |
Real-Time Exemplar-Based Face Sketch Synthesis
Yibing Song1,2, Linchao Bao1,2, Qingxiong Yang1,2, and Ming-Hsuan Yang3
1Department of Computer Science Multimedia Software Engineering Research Centre (MERC), City University of Hong Kong, Hong Kong, China
2MERC-Shenzhen, Guangdong, Hong Kong, China
3Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, California, USA
Abstract. This paper proposes a simple yet effective face sketch synthesis method. Similar to existing exemplar-based methods, a training dataset containing photo-sketch pairs is required, and a K-NN photo patch search is performed between a test photo and every training exemplar for sketch patch selection. Instead of using the Markov Random Field to optimize global sketch patch selection, this paper formulates face sketch synthesis as an image denoising problem which can be solved efficiently using the proposed method. Real-time performance can be obtained on a state-of-the-art GPU. Meanwhile quantitative evaluations on face sketch recognition and user study demonstrate the effectiveness of the proposed method. In addition, the proposed method can be directly extended to the temporal domain for consistent video sketch synthesis, which is of great importance in digital entertainment.
Keywords: Face Hallucination, Texture Synthesis
LNCS 8694, p. 800 ff.
lncs@springer.com
© Springer International Publishing Switzerland 2014