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PATCH-AWARE AVERAGING FILTER FOR SCALING IN POINT CLOUD COMPRESSION

Citation Author(s):
Submitted by:
Keming Cao
Last updated:
29 November 2018 - 2:08pm
Document Type:
Poster
Document Year:
2018
Event:
Presenters Name:
Keming Cao
Paper Code:
GS-P.7.7

Abstract 

Abstract: 

With the development of augmented reality, the delivery and storage of 3D content have become an important research area. Among the proposals for point cloud compression collected by MPEG, Apple’s Test Model Category 2 (TMC2) achieves the highest quality for 3D sequences under a bitrate constraint. However, the TMC2 framework is not spatially scalable. In this paper, we add interpolation compo- nents which make TMC2 suitable for flexible resolution. We apply a patch-aware averaging filter to eliminate most outliers which result from the interpolation. Experimental results show that our method performs well both on objective evaluation and visual quality.

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GlobalSIP_Poster_revised.pdf

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