Foldingnet-Based Geometry Compression of Point Cloud with Multi Descriptions
Author:
Affiliation:
1. University of Chinese Academy of Sciences,Beijing,China
2. Peking University,Institute of Digital Media,Beijing,China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9859264/9859265/09859339.pdf?arnumber=9859339
Reference21 articles.
1. Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
2. Point Cloud Saliency Detection by Local and Global Feature Fusion
3. Fast Point Feature Histograms (FPFH) for 3D Registration;radu bogdan;Proc IEEE Int Conf Robot Autom(ICRA),2009
4. End-to-end Optimized Image Compression;ballé;Proc Int Conf Learn Represent (ICLR),2017
5. TMC13v14 Performance Evaluation and Anchor Results, Document N00096;ISO/IEC JTC 1/SC 29/WE 11 MPEG Online,2021
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