face sketch synthesis via sparse representation
文献类型：会议论文
| 作者 | Chang Liang ; Zhou Mingquan ; Han Yanjun ; Deng Xiaoming |
| 出版日期 | 2010 |
| 会议名称 | 2010 20th International Conference on Pattern Recognition, ICPR 2010 |
| 会议日期 | August 23, |
| 会议地点 | Istanbul, Turkey |
| 关键词 | Cost functions Image processing Optimization |
| 页码 | 2146-2149 |
| 英文摘要 | Face sketch synthesis with a photo is challenging due to that the psychological mechanism of sketch generation is difficult to be expressed precisely by rules. Current learning-based sketch synthesis methods concentrate on learning the rules by optimizing cost functions with low-level image features. In this paper, a new face sketch synthesis method is presented, which is inspired by recent advances in sparse signal representation and neuroscience that human brain probably perceives images using high-level features which are sparse. Sparse representations are desired in sketch synthesis due to that sparseness can adaptively selects the most relevant samples which give best representations of the input photo. We assume that the face photo patch and its corresponding sketch patch follow the same sparse representation. In the feature extraction, we select succinct high-level features by using the sparse coding technique, and in the sketch synthesis process each sketch patch is synthesized with respect to high-level features by solving an l |
| 收录类别 | EI |
| 会议录 | Proceedings - International Conference on Pattern Recognition
 |
| 会议录出版地 | United States |
| 语种 | 英语 |
| ISSN号 | 10514651 |
| ISBN号 | 9780770000000 |
| 源URL | [http://124.16.136.157/handle/311060/8758]  |
| 专题 | 软件研究所_软件所图书馆_2010软件所会议论文 |
| 推荐引用方式 GB/T 7714 | Chang Liang,Zhou Mingquan,Han Yanjun,et al. face sketch synthesis via sparse representation[C]. 见:2010 20th International Conference on Pattern Recognition, ICPR 2010. Istanbul, Turkey. August 23,. |
入库方式： OAI收割
来源：软件研究所
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