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Title:
video enhancement leveraging high-quality depth maps
Author: Cai Zhongmou ; Wu Enhua
Source: Proceedings - VRCAI 2012: 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Conference Name: 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2012
Conference Date: December 2, 2012 - December 4, 2012
Issued Date: 2012
Conference Place: Singapore, Singapore
Keyword: Algorithms ; Image reconstruction ; Interactive computer graphics ; Optical resolving power
Indexed Type: EI
ISBN: 9781450318259
Department: (1) Department of Computer and Information Science University of Macau China; (2) State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China
Sponsorship: ACM SIGGRAPH
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15814
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
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.
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