Distance-Based Probability Model for Octree Coding

We present a context-driven method to encode nodes of an octree, which is typically used to encode the point-cloud geometry. Instead of using one bit per node of the tree, the context allows for deriving probabilities for that node based on distances of the actual voxel to the voxels in a reference...

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Vydané v:IEEE signal processing letters Ročník 25; číslo 6; s. 739 - 742
Hlavní autori: de Queiroz, Ricardo L., Garcia, Diogo C., Chou, Philip A., Florencio, Dinei A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.06.2018
Predmet:
3D compression
Compression for augmented reality
Context modeling
Decoding
Electronic mail
Encoding
Geometry
octree representation
Octrees
point-cloud compression
Three-dimensional displays
ISSN:1070-9908, 1558-2361
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Popis
Shrnutí:We present a context-driven method to encode nodes of an octree, which is typically used to encode the point-cloud geometry. Instead of using one bit per node of the tree, the context allows for deriving probabilities for that node based on distances of the actual voxel to the voxels in a reference point cloud. Accurate probabilities of the node state allow for the use of an arithmetic coder to reduce the bit rate. Results point to potentially large reductions in rate if there is a good model from which to derive the context, i.e., one can get large reductions if the reference-cloud geometry is close enough to the one being encoded.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2018.2823701