Gao, X. and Zhong, J. and Tao, D. and Li, Xuelong (2008) Local face sketch synthesis learning. Neurocomputing 71 (10-12), pp. 1921-1930. ISSN 0925-2312.
Abstract
Facial sketch synthesis (FSS) is crucial in sketch-based face recognition. This paper proposes an automatic FSS algorithm with local strategy based on embedded hidden Markov model (E-HMM) and selective ensemble (SE). By using E-HMM to model the nonlinear relationship between a photo–sketch patch pair, a series of pseudo-sketch patches, generated based on several learned models for a given photo patch, are integrated with SE strategy to synthesize a finer face pseudo-sketch patch. Finally, the intact pseudo-sketch can be generated by combining all synthesized patches. Experimental results illustrate that the proposed FSS algorithm works well.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | facial sketch synthesis, sketch–photo recognition, E-HMM, selective ensemble, pseudo-sketch |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 12 Jul 2013 15:19 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7696 |
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