Visibility-Driven Processing of Streaming Volume Data

Simple item page
dc.contributor.authorSolteszova, Veronikaen_US
dc.contributor.authorBirkeland, Asmunden_US
dc.contributor.authorViola, Ivanen_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.editorIvan Viola and Katja Buehler and Timo Ropinskien_US
dc.date.accessioned2014-12-16T07:37:14Z
dc.date.available2014-12-16T07:37:14Z
dc.date.issued2014en_US
dc.description.abstractIn real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly without additional processing. Noise removal and feature detection are common operations, but many methods are too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose a visibility-driven processing scheme for handling costly on-the-fly processing of volumetric data in real-time. In contrast to the traditional visualization pipeline, our scheme utilizes a fast computation of the potentially visible subset of voxels which significantly reduces the amount of data required to process. As filtering operations modify the data values which may affect their visibility, our method for visibility-mask generation ensures that the set of elements deemed visible does not change after processing. Our approach also exploits the visibility information for the storage of intermediate values when multiple operations are performed in sequence, and can therefore significantly reduce the memory overhead of longer filter pipelines. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios where on-the-fly processing is required.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.isbn978-3-905674-62-0en_US
dc.identifier.issn2070-5778en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20141198en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vcbm.20141198.127-136
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleVisibility-Driven Processing of Streaming Volume Dataen_US
Files
Original bundle
Now showing 1 - 5 of 6
Thumbnail Image
Name:
127-136.pdf
Size:
11.84 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
anna-black.pdf
Size:
1.85 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
appendix.pdf
Size:
180.18 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
babies-black.pdf
Size:
1.83 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
babies.pdf
Size:
1.23 MB
Format:
Adobe Portable Document Format
Download
Collections
VCBM 14: Eurographics Workshop on Visual Computing for Biology and Medicine