Abstract
In this paper, we develop a tree-structured predictive partial matching (PPM) scheme for progressive compression of Point Texture images. By incorporating PPM with tree-structured coding, the proposed algorithm can compress 3D depth information progressively into a single bitstream. Also, the proposed algorithm compresses color information using a differential pulse coding modulation (DPCM) coder and interweaves the compressed depth and color information efficiently. Thus, the decoder can reconstruct 3D models from the coarsest resolution to the highest resolution from a single bitstream. Simulation results demonstrate that the proposed algorithm provides much better compression performance than a universal Lempel-Ziv coder, WinZip.
Original language | English |
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Pages (from-to) | 1159-1168 |
Number of pages | 10 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5308 |
Issue number | PART 2 |
DOIs | |
Publication status | Published - 2004 |
Externally published | Yes |
Event | Visual Communications and Image Processing 2004 - San Jose, CA, United States Duration: 2004 Jan 20 → 2004 Jan 22 |
Keywords
- 3D compression
- Depth image based rendering
- Layered depth images
- Octree structure
- Point-Texture
- Progressive compression
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering