Depth-Aware Image Seam Carving
文献类型：期刊论文
| 作者 | Shen, Jianbing1; Wang, Dapeng1; Li, Xuelong2
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 2013-10-01 |
| 卷号 | 43期号:5页码:1453-1461 |
| 关键词 | Energy optimization image retargeting Kinect depth camera saliency seam carving |
| 英文摘要 | image seam carving algorithm should preserve important and salient objects as much as possible when changing the image size, while not removing the secondary objects in the scene. however, it is still difficult to determine the important and salient objects that avoid the distortion of these objects after resizing the input image. in this paper, we develop a novel depth-aware single image seam carving approach by taking advantage of the modern depth cameras such as the kinect sensor, which captures the rgb color image and its corresponding depth map simultaneously. by considering both the depth information and the just noticeable difference (jnd) model, we develop an efficient jnd-based significant computation approach using the multiscale graph cut based energy optimization. our method achieves the better seam carving performance by cutting the near objects less seams while removing distant objects more seams. to the best of our knowledge, our algorithm is the first work to use the true depth map captured by kinect depth camera for single image seam carving. the experimental results demonstrate that the proposed approach produces better seam carving results than previous content-aware seam carving methods. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | visual-attention model |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000324586700013 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/23177]  |
| 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.Beijing Inst Technol, Sch Comp Sci, Beijing Key Lab Intelligent Informat Technol, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Optic & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Jianbing,Wang, Dapeng,Li, Xuelong. Depth-Aware Image Seam Carving[J]. ieee transactions on cybernetics,2013,43(5):1453-1461. |
| APA | Shen, Jianbing,Wang, Dapeng,&Li, Xuelong.(2013).Depth-Aware Image Seam Carving.ieee transactions on cybernetics,43(5),1453-1461. |
| MLA | Shen, Jianbing,et al."Depth-Aware Image Seam Carving".ieee transactions on cybernetics 43.5(2013):1453-1461. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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