Vector quantization of 3-D point clouds
Jae-Young Sim, Chang‐Su Kim, Sang‐Uk Lee · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
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.