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Proceedings Paper

Vector quantization of 3-D point clouds
Author(s): Jae-Young Sim; Chang-Su Kim; Sang-Uk Lee
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Paper 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.

Paper Details

Date Published: 25 October 2005
PDF: 12 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60151D (25 October 2005); doi: 10.1117/12.630338
Show Author Affiliations
Jae-Young Sim, Seoul National Univ. (South Korea)
Chang-Su Kim, Korea Univ. (South Korea)
Sang-Uk Lee, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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