Attribute compression for point cloud data using variable bit depth and an error correction table

Min Ku Lee, Euee Seon Jang, Eun Young Chang, Jihun Cha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose an improved attribute compression method for point cloud data, using variable bit depth and an error correction table. The evolution of sensors makes it possible to represent 3D models ever more precisely by using ever larger amounts of point data, which makes the need for an efficient compression algorithm ever higher. The emerging MPEG Point Cloud Compression (PCC) standard is trying to meet the demand of compression. We tackled two issues in MPEG-I Part 9 G-PCC. First, because encoding the reflectance attribute with a fixed bit depth limits the compression performance, we propose encoding the reflectance attribute with variable bit depth. Second, because errors can occur between the original and reconstructed values when encoding and decoding the reflectance attribute, we propose minimizing them using an error correction table. Experimental results show that the proposed method outperformed MPEG PCC substantially.

Original languageEnglish
Title of host publication2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728191614
DOIs
StatePublished - 2021 Jan 31
Event2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju, Korea, Republic of
Duration: 2021 Jan 312021 Feb 3

Publication series

Name2021 International Conference on Electronics, Information, and Communication, ICEIC 2021

Conference

Conference2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
Country/TerritoryKorea, Republic of
CityJeju
Period21/01/3121/02/3

Keywords

  • Attribute
  • Error correction
  • Point cloud compression
  • Reflectance
  • Variable bit depth

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