Learning-Based Lossless Compression of 3D Point Cloud Geometry

This paper presents a learning-based, lossless compression method for static point cloud geometry, based on context-adaptive arithmetic coding. Unlike most existing methods working in the octree domain, our encoder operates in a hybrid mode, mixing octree and voxel-based coding. We adaptively partit...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 4220 - 4224
Hlavní autori:	Nguyen, Dat Thanh, Quach, Maurice, Valenzise, Giuseppe, Duhamel, Pierre
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.06.2021
Predmet:	context model Deep Learning Encoding G-PCC Geometry Neural networks Octrees Point Cloud Compression Probability distribution Three-dimensional displays Transform coding
ISSN:	2379-190X
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