Publication | Closed Access
Context-based octree coding for point-cloud video
50
Citations
10
References
2017
Year
Unknown Venue
Geometric ModelingFree-viewpoint VideoPoint-cloud VideoPoint CloudMachine VisionImage AnalysisOctree YieldsEngineeringNatural SciencesGeometry CompressionPoint Cloud Processing3D VideoComputer ScienceComputational GeometryAnimation CompressionComputer VisionOctree Representation
3D and free-viewpoint video has been moving towards solid-scene representation using meshes and point clouds. Point-cloud processing requires much less computation and the 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. We present a lossless inter-frame compression method for point-cloud geometry, by reordering each octree based on previous frames prior to entropy coding. Results show that compared to the octree representation, the proposed solution offers an average rate reduction of 30%, while entropy-coding of the octree yields an average rate reduction of 24%.
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