Progressive Compression of Point-Sampled Models

dc.contributor.authorWaschbüsch, M.en_US
dc.contributor.authorGross, M.en_US
dc.contributor.authorEberhard, F.en_US
dc.contributor.authorLamboray, E.en_US
dc.contributor.authorWürmlin, S.en_US
dc.contributor.editorMarkus Gross and Hanspeter Pfister and Marc Alexa and Szymon Rusinkiewiczen_US
dc.date.accessioned2014-01-29T16:25:38Z
dc.date.available2014-01-29T16:25:38Z
dc.date.issued2004en_US
dc.description.abstractdecomposition of the point set and thus easily allows for progressive decoding. Our method is generic in the sense that it can handle arbitrary point attributes using attribute-specific coding operations. Furthermore, no resampling of the model is needed and thus we do not introduce additional smoothing artifacts. We provide coding operators for the point position, normal and color. Particularly, by transforming the point positions into a local reference frame, we exploit the fact that all point samples are living on a surface. Our framework enables for compressing both geometry and appearance of the model in a unified manner. We show the performance of our framework on a diversity of point-based models.en_US
dc.description.seriesinformationSPBG'04 Symposium on Point - Based Graphics 2004en_US
dc.identifier.isbn3-905673-09-6en_US
dc.identifier.issn1811-7813en_US
dc.identifier.urihttps://doi.org/10.2312/SPBG/SPBG04/095-102en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational geometry and object modeling-Curve, surface, solid, and object representations; E.4 [Data]: Coding and information theory-Data compaction and compressionen_US
dc.titleProgressive Compression of Point-Sampled Modelsen_US
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