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A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video
Luo G.2; Zhu Y.2; Li Z.2; Zhang L.1
2016-12-09
Conference Name2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)c
Source PublicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2016-December
Pages1781-1789
Conference DateJUN 27-30, 2016
Conference PlaceSeattle, WA
Abstract

The depth image based rendering (DIBR) plays a key role in 3D video synthesis, by which other virtual views can be generated from a 2D video and its depth map. However, in the synthesis process, the background occluded by the foreground objects might be exposed in the new view, resulting in some holes in the synthetized video. In this paper, a hole filling approach based on background reconstruction is proposed, in which the temporal correlation information in both the 2D video and its corresponding depth map are exploited to construct a background video. To construct a clean background video, the foreground objects are detected and removed. Also motion compensation is applied to make the background reconstruction model suitable for moving camera scenario. Each frame is projected to the current plane where a modified Gaussian mixture model is performed. The constructed background video is used to eliminate the holes in the synthetized video. Our experimental results have indicated that the proposed approach has better quality of the synthetized 3D video compared with the other methods.

DOI10.1109/CVPR.2016.197
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000400012301089
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Cited Times [WOS]:21   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Peking University
Recommended Citation
GB/T 7714
Luo G.,Zhu Y.,Li Z.,et al. A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video[C],2016:1781-1789.
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