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Conference Paper Disocclusion-Reducing Geometry for Multiple RGB-D Video Streams
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Authors
Jaesuk Lee, Youngwook Kim, Jehyeong Yun, Joungil Yun, Won-Sik Cheong, Insung Ihm
Issue Date
2021-03
Citation
Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) 2021, pp.603-604
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/VRW52623.2021.00184
Abstract
Depth-image-based rendering (DIBR) is a key method for synthesizing virtual views from multiple RGB-D video streams. A challenging issue inherent in this approach is the disocclusion that occurs as the virtual viewpoint moves away from a reference view. In this work, we present a technique for extracting 3D geometric data, called the disocclusion-reducing geometry, from the input video streams. This auxiliary information, represented as a 3D point cloud, can then be combined easily with a conventional DIBR pipeline to reduce the disoccluded region as much as possible during the view warping process, eventually decreasing the visual artifacts by the subsequent hole-filling process.
KSP Keywords
3D Point Cloud, Filling process, RGB-D video, Virtual view, auxiliary information, depth-image-based rendering(DIBR), hole filling