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Efficient 3D data compression through parameterization of free-form surface patches

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3 Author(s)
Marcos A. Rodrigues ; Geometric Modelling and Pattern Recognition Research Group, Sheffield Hallam University, U.K. ; Alan Robinson ; A. Osman

This paper presents a new method for 3D data compression based on parameterization of surface patches. The technique is applied to data that can be defined as single valued functions; this is the case for 3D patches obtained using standard 3D scanners. The method defines a number of mesh cutting planes and the intersection of planes on the mesh defines a set of sampling points. These points contain an explicit structure that allows us to define parametrically both x and y coordinates. The z values are interpolated using high degree polynomials and results show that compressions over 99% are achieved while preserving the quality of the mesh.

Published in:

Signal Processing and Multimedia Applications (SIGMAP), Proceedings of the 2010 International Conference on

Date of Conference:

26-28 July 2010