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24 October 2005 Vector quantization of 3-D point clouds
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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