Institutional Repository
| real time edit propagation by efficient sampling | |
| Bie Xiaohui; Huang Haoda; Wang Wencheng | |
| 2011 | |
| Source | COMPUTER GRAPHICS FORUM
![]() |
| ISSN | 0167-7055 |
| Volume | 30Issue:7Pages:2041-2048 |
| English Abstract | It is popular to edit the appearance of images using strokes, owing to their ease of use and convenience of conveying the user's intention. However, propagating the user inputs to the rest of the images requires solving an enormous optimization problem, which is very time consuming, thus preventing its practical use. In this paper, a two-step edit propagation scheme is proposed, first to solve edits on clusters of similar pixels and then to interpolate individual pixel edits from cluster edits. The key in our scheme is that we use efficient stroke sampling to compute the affinity between image pixels and strokes. Based on this, our clustering does not need to be stroke-adaptive and thus the number of clusters is greatly reduced, resulting in a significant speedup. The proposed method has been tested on various images, and the results show that it is more than one order of magnitude faster than existing methods, while still achieving precise results compared with the ground truth. Moreover, its efficiency is not sensitive to the number of strokes, making it suitable for performing dense edits in practice.; It is popular to edit the appearance of images using strokes, owing to their ease of use and convenience of conveying the user's intention. However, propagating the user inputs to the rest of the images requires solving an enormous optimization problem, which is very time consuming, thus preventing its practical use. In this paper, a two-step edit propagation scheme is proposed, first to solve edits on clusters of similar pixels and then to interpolate individual pixel edits from cluster edits. The key in our scheme is that we use efficient stroke sampling to compute the affinity between image pixels and strokes. Based on this, our clustering does not need to be stroke-adaptive and thus the number of clusters is greatly reduced, resulting in a significant speedup. The proposed method has been tested on various images, and the results show that it is more than one order of magnitude faster than existing methods, while still achieving precise results compared with the ground truth. Moreover, its efficiency is not sensitive to the number of strokes, making it suitable for performing dense edits in practice. |
| Indexed Type | SCI |
| Department | Bie Xiaohui; Wang Wencheng Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing 100864 Peoples R China. Bie Xiaohui Chinese Acad Sci Grad Univ Beijing 100864 Peoples R China. |
| Subject | Computer Science |
| Sponsorship | NSFC60773026, 60873182, 60833007 |
| Language | 英语 |
| WOS ID | WOS:000296915400019 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16074 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Bie Xiaohui,Huang Haoda,Wang Wencheng. real time edit propagation by efficient sampling[J]. COMPUTER GRAPHICS FORUM,2011,30(7):2041-2048. |
| APA | Bie Xiaohui,Huang Haoda,&Wang Wencheng.(2011).real time edit propagation by efficient sampling.COMPUTER GRAPHICS FORUM,30(7),2041-2048. |
| MLA | Bie Xiaohui,et al."real time edit propagation by efficient sampling".COMPUTER GRAPHICS FORUM 30.7(2011):2041-2048. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment