Name
Abstract | ||
|---|---|---|
In this paper, we propose a generic point cloud encoder that provides a unified framework for compressing different attributes of point samples corresponding to 3D objects with arbitrary topology. In the proposed scheme, the coding process is led by an iterative octree cell subdivision of the object space. At each level of subdivision, positions of point samples are approximated by the geometry centers of all tree-front cells while normals and colors are approximated by their statistical average within each of tree-front cells. With this framework, we employ attribute-dependent encoding techniques to exploit different characteristics of various attributes. All of these have led to significant improvement in the rate-distortion (R-D) performance and a computational advantage over the state of the art. Furthermore, given sufficient levels of octree expansion, normal space partitioning and resolution of color quantization, the proposed point cloud encoder can be potentially used for lossless coding of 3D point clouds. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TVCG.2007.70441 | IEEE Trans. Vis. Comput. Graph. |
Keywords | Field | DocType |
object hierarchies,different attribute,point sample,normal space partitioning,tree-front cell,iterative octree cell subdivision,attribute-dependent encoding technique,octrees,point cloud,computational geometry,data compression,3d point cloud,encoding,progressive point cloud coding,data compaction and compression,proposed point cloud encoder,generic scheme,arbitrary topology,different characteristic,solid modelling,sampling methods,generic point cloud encoder,indexing methods,rate-distortion performance,coding process,data models,solid modeling,color quantization,meteorology,computational modeling,generic point | Computer vision,Computer science,Generic point,Computational geometry,Theoretical computer science,Subdivision,Encoder,Artificial intelligence,Data compression,Point cloud,Color quantization,Octree | Journal |
Volume | Issue | ISSN |
14 | 2 | 1077-2626 |
Citations | PageRank | References |
57 | 2.64 | 31 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Huang | 1 | 976 | 35.15 |
| Jingliang Peng | 2 | 532 | 27.24 |
| C.-C. Jay Kuo | 3 | 7524 | 697.44 |
| M. Gopi | 4 | 272 | 24.83 |