INTRA-FRAME CONTEXT-BASED OCTREE CODING FOR POINT-CLOUD GEOMETRY

被引:0
作者
Garcia, Diogo C. [1 ]
de Queiroz, Ricardo L. [1 ]
机构
[1] Univ Brasilia, Brasilia, DF, Brazil
来源
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2018年
关键词
Point-cloud compression; 3D immersive video; free-viewpoint video; octree; real-time point-cloud transmission; COMPRESSION;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
3D and free-viewpoint video has been slowly adopting a solid representation, such as using meshes and point-clouds. Among other characteristics, meshes provide direct surface representation, while point-cloud processing requires less computation. Points in the cloud are minimally represented by their geometry (3D position) and color. A common point-cloud geometry compression method is the octree representation, which acts on individual frames and can be further compressed by entropy encoding. This paper presents a lossless intra-frame compression method for point-cloud geometry, which uses the octree structure to provide better contexts for entropy coding. Results show that the proposed solution offers state-of-the-art performance, with an average rate reduction of 29% compared to the octree representation.
引用
收藏
页码:1807 / 1811
页数:5
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