Adaptive arithmetic coding for point cloud compression

Ismael Daribo, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

7 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトル2012 3DTV-Conference
ホスト出版物のサブタイトルThe True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
DOI
出版ステータス出版済み - 12月 1 2012
外部発表はい
イベント2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012 - Zurich, スイス
継続期間: 10月 15 201210月 17 2012

その他

その他2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
国/地域スイス
CityZurich
Period10/15/1210/17/12

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用
  • 電子工学および電気工学

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