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Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting

Abstract: 

With the boosting requirements of realistic 3D modeling for immersive applications, advent of the newly-developed 3D point cloud has attracted great attention. Frankly, immersive experience using high data volume affirms the importance of efficient compression. Inspired by the video-based point cloud compression (V-PCC), we propose a novel point cloud compression algorithm based on polynomial fitting of proper patches. Moreover, the original point cloud is segmented into various patches. We generated corresponding depth maps via projection of all the patches by focusing on geometry information. Instead of directly compressing the absolute values, we utilized proper polynomial functions to fit in each patch to obtain the differences. Finally, it is satisfying to note that the fitting function effectively represents the patch-wise geometry information. Moreover, new depth maps are obtained with extremely small and stable values, which are more suitable for video-based compression. Different patch-wise fitting parameters are preserved and coded using lossless compression through the open source PAQ project. The proposed approach achieves a noticeable improvement in the compression efficiency while maintaining point cloud quality.

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Paper Details

Authors:
Yingzhan Xu, Wenjie Zhu, Yiling Xu, Zhu Li
Submitted On:
15 April 2019 - 5:18am
Short Link:
Type:
Poster
Event:
Paper Code:
4096
Document Year:
2019
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Document Files

polynomial poster_24x48.pdf

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[1] Yingzhan Xu, Wenjie Zhu, Yiling Xu, Zhu Li, "Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3892. Accessed: Sep. 21, 2019.
@article{3892-19,
url = {http://sigport.org/3892},
author = {Yingzhan Xu; Wenjie Zhu; Yiling Xu; Zhu Li },
publisher = {IEEE SigPort},
title = {Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting},
year = {2019} }
TY - EJOUR
T1 - Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting
AU - Yingzhan Xu; Wenjie Zhu; Yiling Xu; Zhu Li
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3892
ER -
Yingzhan Xu, Wenjie Zhu, Yiling Xu, Zhu Li. (2019). Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting. IEEE SigPort. http://sigport.org/3892
Yingzhan Xu, Wenjie Zhu, Yiling Xu, Zhu Li, 2019. Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting. Available at: http://sigport.org/3892.
Yingzhan Xu, Wenjie Zhu, Yiling Xu, Zhu Li. (2019). "Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting." Web.
1. Yingzhan Xu, Wenjie Zhu, Yiling Xu, Zhu Li. Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3892