Optimization of octree-based adaptive geometry quantization via up-sampling for G-PCC

Lei Wei, Shuai Wan, Xiaobin Ding, Zhecheng Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

To improve the reconstructed point cloud after adaptive geometry quantization in geometry-based point cloud compression, a least squares plane (LSP) projection-based up-sampling method and a quantization parameter (QP) decision method based on loss function are proposed. First, the LSP fitting is carried out to locate the interpolated point based on the nearest neighbors of the current node during decoding, enhancing both the subjective and objective quality of the reconstructed point cloud. Second, the QP decision for each node is based on the mean squared error between the original point cloud and the reconstructed point cloud. The experimental results show that the proposed methods achieve performance gains in terms of point-to-point and point-to-plane errors for geometry by 6.3% and 1.6%, respectively, and for attributes by 1.5%, 0.7%, and 0.5%. There also has been a significant improvement in subjective quality.

源语言英语
主期刊名2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350359855
DOI
出版状态已出版 - 2023
活动2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 - Jeju, 韩国
期限: 4 12月 20237 12月 2023

出版系列

姓名2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023

会议

会议2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
国家/地区韩国
Jeju
时期4/12/237/12/23

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