Information transformation for point cloud

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.
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