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| face sketch synthesis via multivariate output regression | |
Chang Liang; Zhou Mingquan; Deng Xiaoming ; Wu Zhongke; Han Yanjun
| |
| 2011 | |
| Conference Name | 14th International Conference on Human-Computer Interaction, HCI International 2011 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 555-561 |
| Conference Date | 9-Jul-20 |
| Conference Place | Orlando, FL, United states |
| Indexed Type | ei |
| Publish Place | Germany |
| ISSN | 3029743 |
| ISBN | 9783642216015 |
| Department | (1) College of Information Science and Technology, Beijing Normal University, Beijing 100875, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China |
| English Abstract | This paper presents a multivariate output regression based method to synthesize face sketches from photos. The training photos and sketches are divided into small image patches. For each pairs of photo patch and its corresponding sketch patch in training data, a local regression model is built by multivariate output regression methods such as kernel ridge regression and relevance vector machine (RVM). Compared with commonly used single-output regression, multivariate output regression can enforce the synthesized sketch patches with structure constraints. Experiments are given to show the validity and effectiveness of the approach. © 2011 Springer-Verlag. |
| Keyword | Human Computer Interaction Knowledge Management |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14305 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Chang Liang,Zhou Mingquan,Deng Xiaoming,et al. face sketch synthesis via multivariate output regression[C]. Germany,2011:555-561. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| face sketch synthesi（266KB） | 开放获取 | -- | Application Full Text | |||
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