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 |
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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 | |
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 |
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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