Face sketch-photo synthesis based on support vector regression

Zhang, J. and Wang, N. and Gao, X. and Tao, D. and Li, Xuelong (2011) Face sketch-photo synthesis based on support vector regression. In: UNSPECIFIED (ed.) IEEE International Conference on Image Processing. Institute of Electrical and Electronics Engineers, pp. 1125-1128. ISBN 9781457713040.

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Official URL: http://dx.doi.org/10.1109/ICIP.2011.6115625

Abstract

The existing face sketch-photo synthesis methods trend to lose some vital details more or less. In this paper, we propose a novel sketch-photo synthesis approach based on support vector regression (SVR) to handle this difficulty. First, we utilize an existing method to acquire the initial estimate of the synthesized image. Then, the final synthesized image is obtained by combining the initial estimate and the SVR based high frequency information together to further enhance the quality of synthesized image. Experimental results on the benchmark database and our new constructed database demonstrate that the proposed method can achieve significant improvement on perceptual quality. Moreover, the synthesized face images can obtain higher recognition rate when used in retrieval system.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	07 Jun 2013 10:11
Last Modified:	09 Aug 2023 12:33
URI:	https://eprints.bbk.ac.uk/id/eprint/7376

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