Fast Extraction of High-quality Crease Surfaces for Visual Analysis

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dc.contributor.authorBarakat, Sameren_US
dc.contributor.authorAndrysco, N.en_US
dc.contributor.authorTricoche, Xavieren_US
dc.contributor.editorH. Hauser, H. Pfister, and J. J. van Wijken_US
dc.date.accessioned2014-02-21T20:23:39Z
dc.date.available2014-02-21T20:23:39Z
dc.date.issued2011en_US
dc.description.abstractWe present a novel algorithm for the efficient extraction and visualization of high-quality ridge and valley surfaces from numerical datasets. Despite their rapidly increasing popularity in visualization, these so-called crease surfaces remain challenging to compute owing to their strongly nonlinear and non-orientable nature, and their complex boundaries. In this context, existing meshing techniques require an extremely dense sampling that is computationally prohibitive. Our proposed solution intertwines sampling and meshing steps to yield an accurate approximation of the underlying surfaces while ensuring the geometric quality of the resulting mesh. Using the computation power of the GPU, we propose a fast, parallel method for sampling. Additionally, we present a new front propagation meshing strategy that leverages CPU multiprocessing. Results are shown for synthetic, medical and fluid dynamics datasets.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30en_US
dc.identifier.doi10.1111/j.1467-8659.2011.01945.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01945.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleFast Extraction of High-quality Crease Surfaces for Visual Analysisen_US
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EuroVis11: Eurographics/ IEEE Symposium on Visualization