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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8082

Title: Self-Similarity Based Compression of Point Clouds, with application to Ray Tracing
Authors: HUBO, Erik
MERTENS, Tom
HABER, Tom
BEKAERT, Philippe
Issue Date: 2007
Publisher: Eurographics Association
Citation: Botsch, M. & Pajarola, R. & Chen, B & Zwicker, M. (Ed.) Symposium on Point Based Graphics. p. 129-137.
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 datasets 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 normals
URI: http://hdl.handle.net/1942/8082
DOI: 10.2312/SPBG/SPBG07/129-137
ISBN: 978-3-905673-51-7
ISSN: 1811-7813
Category: C1
Type: Proceedings Paper
Validation: vabb, 2015
Appears in Collections: Research publications

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