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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang Liang Mingli Song Lei Xie Jiajun Bu Chun Chen |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Computer Science, Northwestern Polytechnical University, Xi'an, China (Lei Xie) || Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China (Yang Liang; Mingli Song; Jiajun Bu; Chun Chen) |
| Abstract | Face sketch-to-photo synthesis has attracted increasing attention in recent years for its useful applications on both digital entertainment and law enforcement. Although great progress has been made, previous methods only work on face sketches with rich textures which are not easily to obtain. In this paper, we propose a robust algorithm for synthesizing a face photo from a simple line drawing that contains only a few lines without any texture. In order to obtain a robust result, firstly, the input sketch is divided into several patches and edge descriptors are extracted from these local input patches. Afterwards, an MRF framework is built based on the divided local patches. Then a series of candidate photo patches are synthesized for each local sketch patch based on a coupled dictionary learned from a set of training data. Finally, the MRF is optimized to get the final estimated photo patches for each input sketch patch and a realistic face photo is synthesized. Experimental results on CUHK database have validated the effectiveness of the proposed method. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 2752587 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467348638 |
| e-ISBN | 9780615700502 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | APSIPA |
| Subject Keyword | Training Computer vision Dictionaries Databases Euclidean distance Silicon Face |
| Content Type | Text |
| Resource Type | Article |
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