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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8320

Title: Self-similarity based compression of point set surfaces with application to ray tracing
Authors: HUBO, Erik
BEKAERT, Philippe
Issue Date: 2008
Citation: COMPUTERS & GRAPHICS-UK, 32(2). p. 221-234
Abstract: Many real-world, scanned surfaces contain repetitive structures, like bumps, ridges, creases, and so on. We present a compression technique that exploits self-similarity within a point-sampled surface. Our method replaces similar surface patches with an instance of a representative patch. We use a concise shape descriptor to identify and cluster similar patches. Decoding is achieved through simple instancing of the representative patches. Encoding is efficient, and can be applied to large data sets consisting of millions of points. Moreover, our technique offers random access to the compressed data, making it applicable to ray tracing, and easily allows for storing additional point attributes, like nomals. (C) 2008 Elsevier Ltd. All rights reserved.
Notes: Hasselt Univ, Transnatl Univ Limburg, Expertise Ctr Digital Media, BE-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/8320
DOI: 10.1016/j.cag.2008.01.012
ISI #: 000255799900009
ISSN: 0097-8493
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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