UCT CS Research Document Archive

Compression of dense and regular point clouds

Merry, Bruce, Patrick Marais and James Gain (2006) Compression of dense and regular point clouds. In Proceedings 4th International Conference on Virtual Reality, Computer Graphics, Visualization and Interaction in Africa, pages 15-20, Cape Town, South Africa.

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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 degrees 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.

EPrint Type:Conference Paper
Keywords:compression, point clouds, range scanning, spanning tree
Subjects:I Computing Methodologies: I.3 COMPUTER GRAPHICS
E Data: E.4 CODING AND INFORMATION THEORY
ID Code:282
Deposited By:Merry, Bruce
Deposited On:14 Febuary 2006
Alternative Locations:http://people.cs.uct.ac.za/~bmerry/msc/downloads/ag-mst.pdf