Vector quantization of 3-D point clouds

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

doi:10.1117/12.630338

Vector quantization of 3-D point clouds

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	A. Vetro, C.W. Chen, C.-C.J. Kuo, T. Zhang, Q. Tian
Volume	6015
DOIs	https://doi.org/10.1117/12.630338
Publication status	Published - 2005
Event	Multimedia Systems and Applications VIII - Boston, MA, United States Duration: 2005 Oct 24 → 2005 Oct 26

Other

Other	Multimedia Systems and Applications VIII
Country/Territory	United States
City	Boston, MA
Period	05/10/24 → 05/10/26

Keywords

3-D compression
And vector quantization
Point-based rendering
QSplat

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

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10.1117/12.630338

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title = "Vector quantization of 3-D point clouds",

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.",

keywords = "3-D compression, And vector quantization, Point-based rendering, QSplat",

author = "Sim, \{Jae Young\} and Chang-Su Kim and Lee, \{Sang Uk\}",

year = "2005",

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language = "English",

volume = "6015",

editor = "A. Vetro and C.W. Chen and C.-C.J. Kuo and T. Zhang and Q. Tian",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Multimedia Systems and Applications VIII ; Conference date: 24-10-2005 Through 26-10-2005",

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TY - GEN

T1 - Vector quantization of 3-D point clouds

AU - Sim, Jae Young

AU - Kim, Chang-Su

AU - Lee, Sang Uk

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - 3-D compression

KW - And vector quantization

KW - Point-based rendering

KW - QSplat

UR - https://www.scopus.com/pages/publications/33644751861

UR - https://www.scopus.com/pages/publications/33644751861#tab=citedBy

U2 - 10.1117/12.630338

DO - 10.1117/12.630338

M3 - Conference contribution

AN - SCOPUS:33644751861

VL - 6015

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Vetro, A.

A2 - Chen, C.W.

A2 - Kuo, C.-C.J.

A2 - Zhang, T.

A2 - Tian, Q.

T2 - Multimedia Systems and Applications VIII

Y2 - 24 October 2005 through 26 October 2005

ER -

Vector quantization of 3-D point clouds

Abstract

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Keywords

ASJC Scopus subject areas

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