Block size selection in rate-constrained geometry based point cloud compression

In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in the voxelized point clouds, i.e. , the number of voxels contained in a block, determines whether the geometry coding is lossless or lossy, and...

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Bibliographic Details
Published in:Multimedia tools and applications Vol. 81; no. 2; pp. 2557 - 2575
Main Authors: Gao, Pan, Wei, Mingqiang
Format: Journal Article
Language:English
Published: New York Springer US 01.01.2022
Springer Nature B.V
Subjects:
Algorithms
Color coding
Computer Communication Networks
Computer Science
Constraints
Data Structures and Information Theory
Geometry
Image quality
Multimedia Information Systems
Octree coding
Special Purpose and Application-Based Systems
Point cloud compression
Block size selection
Octree level
Rate constrained
ISSN:1380-7501, 1573-7721
Online Access:Get full text
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Summary:In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in the voxelized point clouds, i.e. , the number of voxels contained in a block, determines whether the geometry coding is lossless or lossy, and the degree of geometry compression in lossy coding. Therefore, selecting an appropriate block size for octree coding is crucial for compression quality of voxelized point clouds. In this paper, we propose an optimal block size selection scheme for geometry based point cloud compression with a given bit rate constraint. Firstly, we analyze the gradients of the overall quality of the point clouds with color coding bit rate and geometry coding bit rate in lossy geometry coding. Then, we propose an octree level selection approach that can output the optimal octree level for point cloud compression under a target bit rate. In this approach, we consider the difference between the impacts of lossy geometry coding and lossless geometry coding on the overall quality of the point clouds. Experimental results demonstrate that, using the level selected by the proposed algorithm for geometry coding can yield best coding results in terms of the average quality of the images rendered from decoded point clouds.
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-021-11672-8