Adaptive arithmetic coding for point cloud compression

Ismael Daribo, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Recently, structured-light-based scanning systems have gain in popularity and are capable of modeling entire dense shapes that evolve over time with a single scan (a.k.a. one-shot scan). By projecting a static grid pattern onto the object surface, one-shot shape reconstruction methods can scan moving objects while still maintaining dense reconstruction. However, the amount of 3D data produced by these systems grows rapidly with point cloud of millions of points. As a consequence, effective point cloud compression scheme is required to face the transmission need. In this paper we propose a new approach to compress point cloud by taking advantage of the fact that arithmetic coding can be split into two parts: an encoder that actually produces the compressed bitstream, and a modeler that feeds information into the encoder. In particular, for each position point and normal, we propose to calculate the distribution of probabilities based on their spatial prediction as modeler, while classical point cloud coder mainly focus on the reduction of the prediction residual. Experimental results demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2012 3DTV-Conference
Subtitle of host publicationThe True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
DOIs
Publication statusPublished - Dec 1 2012
Externally publishedYes
Event2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012 - Zurich, Switzerland
Duration: Oct 15 2012Oct 17 2012

Other

Other2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
CountrySwitzerland
CityZurich
Period10/15/1210/17/12

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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    Daribo, I., Furukawa, R., Sagawa, R., & Kawasaki, H. (2012). Adaptive arithmetic coding for point cloud compression. In 2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012 [6365475] https://doi.org/10.1109/3DTV.2012.6365475