Adaptive Sampling in Single Pass, GPU-based Raycasting of Multiresolution Volumes
| dc.contributor.author | Ljung, Patric | en_US |
| dc.contributor.editor | Raghu Machiraju and Torsten Moeller | en_US |
| dc.date.accessioned | 2014-01-29T17:49:58Z | |
| dc.date.available | 2014-01-29T17:49:58Z | |
| dc.date.issued | 2006 | en_US |
| dc.description.abstract | This paper presents a novel direct volume rendering technique for adaptive object- and image-space sampling density of multiresolution volumes. The raycasting is implemented entirely on the GPU in a single pass fragment program which adapts the sampling density along rays, guided by block resolutions. The multiresolution volumes are provided by a transfer function based level-of-detail scheme adaptively loading large out-of-core volumes. Adaptive image-space sampling is achieved by gathering projected basic volume block statistics for screen tiles and then allocating a level-of-detail for each tile. This combination of techniques provides a significant reduction of processing requirements while maintaining high quality rendering. | en_US |
| dc.description.seriesinformation | Volume Graphics | en_US |
| dc.identifier.isbn | 3-905673-41-X | en_US |
| dc.identifier.issn | 1727-8376 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/VG/VG06/039-046 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACMCCS): I.3.3 [Computer Graphics]: Viewing algorithms; I.4.10 [Image Processing and Computer Vision]: Volumetric; | en_US |
| dc.title | Adaptive Sampling in Single Pass, GPU-based Raycasting of Multiresolution Volumes | en_US |
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