
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 48 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
