video enhancement leveraging high-quality depth maps
文献类型：会议论文
| 作者 | Cai Zhongmou ; Wu Enhua |
| 出版日期 | 2012 |
| 会议名称 | 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2012 |
| 会议日期 | December 2, 2012 - December 4, 2012 |
| 会议地点 | Singapore, Singapore |
| 关键词 | Algorithms Image reconstruction Interactive computer graphics Optical resolving power |
| 页码 | 111-117 |
| 中文摘要 | Using an image-based rendering (IBR) algorithm, we can reconstruct and enhance a low-quality video by extracting colors from several high-quality photographs according to the correspondences. In this paper, we present several improvements for the IBR algorithm to improve the reconstruction faithfulness and temporal coherence of the resultant video. Concretely, we propose to use another state-of-the-art multiview stereo (MVS) method to recover more accurate and highly consistent depths for the video, and adapt it to handle the sparse photographs. Leveraging the consistent video depths, we further propose a simple but effective method to generate more faithful photograph candidates, which also helps to maintain the temporal coherence. The effectiveness of our improvements is verified by achieving the effect of video super-resolution. Besides, we improve the structure-from-motion (SfM) system to process the heterogeneous dataset containing several unordered photographs and a video clip more efficiently for our application. © 2012 ACM. |
| 英文摘要 | Using an image-based rendering (IBR) algorithm, we can reconstruct and enhance a low-quality video by extracting colors from several high-quality photographs according to the correspondences. In this paper, we present several improvements for the IBR algorithm to improve the reconstruction faithfulness and temporal coherence of the resultant video. Concretely, we propose to use another state-of-the-art multiview stereo (MVS) method to recover more accurate and highly consistent depths for the video, and adapt it to handle the sparse photographs. Leveraging the consistent video depths, we further propose a simple but effective method to generate more faithful photograph candidates, which also helps to maintain the temporal coherence. The effectiveness of our improvements is verified by achieving the effect of video super-resolution. Besides, we improve the structure-from-motion (SfM) system to process the heterogeneous dataset containing several unordered photographs and a video clip more efficiently for our application. © 2012 ACM. |
| 收录类别 | EI |
| 会议主办者 | ACM SIGGRAPH |
| 会议录 | Proceedings - VRCAI 2012: 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
 |
| 语种 | 英语 |
| ISBN号 | 9781450318259 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15814]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Cai Zhongmou,Wu Enhua. video enhancement leveraging high-quality depth maps[C]. 见:11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2012. Singapore, Singapore. December 2, 2012 - December 4, 2012. |
入库方式： OAI收割
来源：软件研究所
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