Optimising Perceived Distortion in Lossy Encoding of Dynamic Meshes

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dc.contributor.authorVá a, L.en_US
dc.contributor.authorPetrík, O.en_US
dc.contributor.editorMario Botsch and Scott Schaeferen_US
dc.date.accessioned2015-02-27T15:03:08Z
dc.date.available2015-02-27T15:03:08Z
dc.date.issued2011en_US
dc.description.abstractDevelopment of geometry data compression techniques in the past years has been limited by the lack of a metric with proven correlation with human perception of mesh distortion. Many algorithms have been proposed, but usually the aim has been to minimise mean squared error, or some of its derivatives. In the field of dynamic mesh compression, the situation has changed with the recent proposal of the STED metric, which has been shown to capture the human perception of mesh distortion much better than previous metrics. In this paper we show how existing algorithms can be steered to provide optimal results with respect to this metric, and we propose a novel dynamic mesh compression algorithm, based on trajectory space PCA and Laplacian coordinates, specifically designed to minimise the newly proposed STED error. Our experiments show that using the proposed algorithm, we were able to reduce the required data rate by up to 50% while preserving the introduced STED error.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/j.1467-8659.2011.02018.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.02018.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectComputer Graphics [I.3.7]en_US
dc.subjectAnimationen_US
dc.subjectImage Processing And Computer Vision [I.4.2]en_US
dc.subjectCompression(Coding)en_US
dc.subjectApproximate methodsen_US
dc.titleOptimising Perceived Distortion in Lossy Encoding of Dynamic Meshesen_US
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SGP11: Eurographics Symposium on Geometry Processing