GPU-assisted Multi-field Video Volume Visualization

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dc.contributor.authorBotchen, Ralf P.en_US
dc.contributor.authorChen, Minen_US
dc.contributor.authorWeiskopf, Danielen_US
dc.contributor.authorErtl, Thomasen_US
dc.contributor.editorRaghu Machiraju and Torsten Moelleren_US
dc.date.accessioned2014-01-29T17:49:58Z
dc.date.available2014-01-29T17:49:58Z
dc.date.issued2006en_US
dc.description.abstractGPU-assisted multi-field rendering provides a means of generating effective video volume visualization that can convey both the objects in a spatiotemporal domain as well as the motion status of these objects. In this paper, we present a technical framework that enables combined volume and flow visualization of a video to be synthesized using GPU-based techniques. A bricking-based volume rendering method is deployed for handling large video datasets in a scalable manner, which is particularly useful for synthesizing a dynamic visualization of a video stream. We have implemented a number of image processing filters, and in particular, we employ an optical flow filter for estimating motion flows in a video. We have devised mechanisms for combining volume objects in a scalar field with glyph and streamline geometry from an optical flow. We demonstrate the effectiveness of our approach with example visualizations constructed from two benchmarking problems in computer vision.en_US
dc.description.seriesinformationVolume Graphicsen_US
dc.identifier.isbn3-905673-41-Xen_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttps://doi.org/10.2312/VG/VG06/047-054en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACMCCS): I.3.3 [Computer Graphics]: Picture / Image Generation I.3.6 [Computer Graphics]: Methodology and Techniques I.3.m [Computer Graphics]: Video Visualizationen_US
dc.titleGPU-assisted Multi-field Video Volume Visualizationen_US
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VG06: Eurographics/IEEE VGTC Workshop on Volume Graphics 2006