Information transformation for point cloud
Files
Date issued
2009
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
We propose a method of Information transformation for point cloud, which reduces information amount of three
dimensional point data. Our method generates clusters and spiral chain lists. These chain lists are consists of
three dimensional points. After that, we adopt a predictive encoding to compress these chain lists. In addition,
we will show effectiveness of our method with same experimental results. In these experiments, our method
reduces the information amount of point cloud coordinate to 31.7% of original model.
Description
Subject(s)
počítačová grafika, datová komprese, transformace, mračno bodů
Citation
WSCG '2009: Poster Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 2 - 5, 2009, p. 47-52.