Multiple Representations-Based Face Sketch-Photo Synthesis | |
Peng, Chunlei1; Gao, Xinbo2; Wang, Nannan3; Tao, Dacheng4,5; Li, Xuelong6; Li, Jie1 | |
刊名 | ieee transactions on neural networks and learning systems |
2016-11-01 | |
卷号 | 27期号:11页码:2201-2215 |
关键词 | Face recognition face sketch-photo synthesis forensic sketch multiple representations |
ISSN号 | 2162-237x |
产权排序 | 6 |
英文摘要 | face sketch-photo synthesis plays an important role in law enforcement and digital entertainment. most of the existing methods only use pixel intensities as the feature. since face images can be described using features from multiple aspects, this paper presents a novel multiple representations-based face sketch-photo-synthesis method that adaptively combines multiple representations to represent an image patch. in particular, it combines multiple features from face images processed using multiple filters and deploys markov networks to exploit the interacting relationships between the neighboring image patches. the proposed framework could be solved using an alternating optimization strategy and it normally converges in only five outer iterations in the experiments. our experimental results on the chinese university of hong kong (cuhk) face sketch database, celebrity photos, cuhk face sketch feret database, iiit-d viewed sketch database, and forensic sketches demonstrate the effectiveness of our method for face sketch-photo synthesis. in addition, cross-database and database-dependent style-synthesis evaluations demonstrate the generalizability of this novel method and suggest promising solutions for face identification in forensic science. |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, artificial intelligence ; computer science, hardware & architecture ; computer science, theory & methods ; engineering, electrical & electronic |
研究领域[WOS] | computer science ; engineering |
关键词[WOS] | local binary patterns ; recognition ; image ; features ; classification ; regularization ; information ; ensemble ; quality ; system |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000386940300005 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28566] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Xidian Univ, Sch Elect Engn, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China 3.Xidian Univ, Sch Telecommun Engn, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China 4.Univ Technol, Ctr Quantum Computat & Intelligent Syst, Ultimo, NSW 2007, Australia 5.Univ Technol, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia 6.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Peng, Chunlei,Gao, Xinbo,Wang, Nannan,et al. Multiple Representations-Based Face Sketch-Photo Synthesis[J]. ieee transactions on neural networks and learning systems,2016,27(11):2201-2215. |
APA | Peng, Chunlei,Gao, Xinbo,Wang, Nannan,Tao, Dacheng,Li, Xuelong,&Li, Jie.(2016).Multiple Representations-Based Face Sketch-Photo Synthesis.ieee transactions on neural networks and learning systems,27(11),2201-2215. |
MLA | Peng, Chunlei,et al."Multiple Representations-Based Face Sketch-Photo Synthesis".ieee transactions on neural networks and learning systems 27.11(2016):2201-2215. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论