Hardware-Accelerated Adaptive EWA Volume Splatting
| Title: | Hardware-Accelerated Adaptive EWA Volume Splatting |
| Author: |
Chen, Wei; Ren, Liu; Zwicker, Matthias; Pfister, Hanspeter
Note: Order does not necessarily reflect citation order of authors. |
| Citation: | Chen, Wei, Liu Ren, Matthias Zwicker, and Hanspeter Pfister. 2004. Hardware-accelerated adaptive EWA volume splatting. In VIS Austin, Texas 2004: IEEE Visualization, October 10-15, 2004; conference, proceedings, ed. K. Gaither, 67-74. Austin, Texas: IEEE. |
| Access Status: | At the direction of the depositing author this work is not currently accessible through DASH. |
| Full Text & Related Files: |
Chen_Hardware.pdf (2.683Mb; PDF) 
|
| Abstract: | We present a hardware-accelerated adaptive EWA (elliptical weighted average) volume splatting algorithm. EWA splatting combines a Gaussian reconstruction kernel with a low-pass image filter for high image quality without aliasing artifacts or excessive blurring. We introduce a novel adaptive filtering scheme to reduce the computational cost of EWA splatting. We show how this algorithm can be efficiently implemented on modern graphics processing units (GPUs). Our implementation includes interactive classification and fast lighting. To accelerate the rendering we store splat geometry and 3D volume data locally in GPU memory. We present results for several rectilinear volume datasets that demonstrate the high image quality and interactive rendering speed of our method. |
| Published Version: | doi:10.1109/VIS.2004.38 |
| Other Sources: | http://gvi.seas.harvard.edu/sites/all/files/vis2004.pdf |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:4726197 |
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FAS Scholarly Articles [5138]
Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
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