| Superpixel fats for fast foreground extraction | |
Liu, Kang1,2 ; Li, Xuelong1; Dong, Yongsheng1; Dong, Yongsheng (dongyongsheng98@163.com)
| |
| 2015 | |
| 会议名称 | IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 |
| 会议录名称 | 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings |
| 页码 | 132-136 |
| 会议日期 | 2015-07 |
| 会议地点 | Chengdu, China |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 产权排序 | 1 |
| 摘要 | Fast foreground extraction is an important and challenging problem. Although GrabCut can perform well in foreground extraction, the average accuracy is not satisfactory, and more importantly, its computational cost is large. In this paper, we propose a fast interactive foreground extraction based on superpixel GrabCut and matting. Specifically, we use a superpixel method to process images in order to improve the efficiency of the GrabCut. To obtain a refined mask, we employ the Shared matting method whose trimaps are implemented by our constructed fast and adaptive trimaps (FATs). Experimental results demonstrate the proposed method is more competitive and effective in the visual sense, E-Time and MSE criterions. © 2015 IEEE. |
| DOI | 10.1109/ChinaSIP.2015.7230377 |
| 收录类别 | EI |
| ISBN号 | 9781479919482 |
| 语种 | 英语 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/27823 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | Dong, Yongsheng (dongyongsheng98@163.com) |
| 作者单位 | 1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, China 2.University of Chinese Academy of Sciences, 19A Yuquanlu, Beijing, China |
| 推荐引用方式 GB/T 7714 | Liu, Kang,Li, Xuelong,Dong, Yongsheng,et al. Superpixel fats for fast foreground extraction[C]:Institute of Electrical and Electronics Engineers Inc.,2015:132-136. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Superpixel fats for （450KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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