Vector quantization of 3-D point clouds

Jae-Young Sim; Chang-Su Kim; Sang-Uk Lee

doi:10.1117/12.630338

24 October 2005 Vector quantization of 3-D point clouds

Jae-Young Sim, Chang-Su Kim, Sang-Uk Lee

Author Affiliations +

Proceedings Volume 6015, Multimedia Systems and Applications VIII; 60151D (2005) https://doi.org/10.1117/12.630338
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

A geometry compression algorithm for 3-D QSplat data using vector quantization (VQ) is proposed in this work. The positions of child spheres are transformed to the local coordinate system, which is determined by the parent children relationship. The coordinate transform makes child positions more compactly distributed in 3-D space, facilitating effective quantization. Moreover, we develop a constrained encoding method for sphere radii, which guarantees hole-free surface rendering at the decoder side. Simulation results show that the proposed algorithm provides a faithful rendering quality even at low bitrates.

Citation Download Citation

Jae-Young Sim, Chang-Su Kim, and Sang-Uk Lee "Vector quantization of 3-D point clouds", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60151D (24 October 2005); https://doi.org/10.1117/12.630338

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