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Compression of dense and regular point clouds
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Source Computer graphics, virtual reality, visualisation and interaction in Africa archive
Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa table of contents
Cape Town, South Africa
SESSION: Point-based representation table of contents
Pages: 15 - 20  
Year of Publication: 2006
ISBN:1-59593-288-7
Authors
Bruce Merry  University of Cape Town
Patrick Marais  University of Cape Town
James Gain  University of Cape Town
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a simple technique for single-rate compression of point clouds sampled from a surface, based on a spanning tree of the points. Unlike previous methods, we predict future vertices using both a linear predictor, which uses the previous edge as a predictor for the current edge, and lateral predictors that rotate the previous edge 90° left or right about an estimated normal.By careful construction of the spanning tree and choice of prediction rules, our method improves upon existing compression rates when applied to regularly sampled point sets, such as those produced by laser range scanning or uniform tesselation of higher-order surfaces. For less regular sets of points, the compression rate is still generally within 1.5 bits per point of other compression algorithms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Bruce Merry: colleagues
Patrick Marais: colleagues
James Gain: colleagues