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Graph-based Static 3D Point Clouds Geometry Coding

Rente, PJROP ; Brites , C. ; Ascenso, J. ; Pereira, F.

IEEE Transactions on Multimedia Vol. 21, Nº 2, pp. 284 - 299, February, 2019.

ISSN (print): 1520-9210
ISSN (online):

Journal Impact Factor: 2,536 (in )

Digital Object Identifier: 10.1109/TMM.2018.2859591

Recently, 3D visual representation models such as light fields and point clouds are becoming popular due to their capability to represent the real world in a more complete and immersive way, paving the road for new and more advanced visual experiences. The point cloud representation model is able to efficiently represent the surface of objects/scenes by means of a set of 3D points and associated attributes and is increasingly being used from autonomous cars to augmented reality. Emerging imaging sensors have made easier to perform richer and denser point cloud acquisitions, notably with millions of points, making impossible to store and transmit these very high amounts of data without appropriate coding. This bottleneck has raised the need for efficient point cloud coding solutions in order to offer more immersive visual experiences and better quality of experience (QoE) to the users. In this context, this paper proposes an efficient lossy coding solution for the geometry of static point clouds. The proposed coding solution uses an octree-based approach for a base layer and a graph-based transform approach for the enhancement layer where an Inter-layer residual is coded. The performance assessment shows very significant compression gains regarding the state-of-the-art, especially for the most relevant lower and medium rates.