Title: Point cloud lossless compression
Authors: Nishio, Koji
Takebayashi, Yusuke
Teshima, Yuji
Kanaya, Takayuki
Kobori, Ken-ichi
Citation: WSCG ’2010: Poster Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 65-70.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Poster-proceedings.pdf
http://hdl.handle.net/11025/1118
ISBN: 978-80-86943-86-2
Keywords: počítačová grafika;datová komprese;transformace informací;mračno bodů
Keywords in different language: computer graphics;data compression;information transformation;point cloud
Abstract: We propose a method of downsizing technique for point sampled data which reduces information amount of three dimensional point cloud data. Our method generates clusters and spiral chain lists. Each chain is consists of three dimensional points. After that, we adopt a predictive encoding to compress these chain lists. In addition, we show the effectiveness of our method with same experimental results by comparison with one of conventional methods. From these experiments, our method can reduce the information amount coordinate data to 31.7% of original model.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2010: Poster Paper Proceedings

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