Geometry-Based Compression of Plenoptic Point Clouds
Plenoptic point clouds (PPC) are novel data structures that represent the light from different viewing directions in order to provide a higher degree of realism to regular point clouds. This is achieved by associating each point to multiple colors instead of a single one. Here, we present a method to efficiently compress the attributes of a PPC, consisting of a Karhunen-Loève transform over the color attributes followed by multiple attribute coders with intra prediction capability. This compression scheme can be incorporated within the MPEG's geometry-based PCC (G-PCC) standard, using any of G-PCC's existing solutions for attribute coding. Compression performance assessment using PPCs of ...
| Authors | Davi R. Freitas, Gustavo L. Sandri, Ricardo L. de Queiroz |
|---|---|
| Primary category | eess.IV |
| Published | 11 August 2026 |
| Last updated at source | 11 August 2026 |
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