The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Acceleration techniques for GPU-based volume rendering
Abstract
Nowadays, direct volume rendering via 3D textures has positioned itself as an efficient tool for the display and visual analysis of volumetric scalar fields. It is commonly accepted, that for reasonably sized data sets appropriate quality at interactive rates can be achieved by means of this technique. However, despite these benefits one important issue has received little attention throughout the ongoing discussion of texture based volume rendering: the integration of acceleration techniques to reduce per-fragment operations. In this paper, we address the integration of early ray termination and empty-space skipping into texture based volume rendering on graphical processing units (GPU). Therefore, we describe volume ray-casting on programmable graphics hardware as an alternative to object-order approaches. We exploit the early z-test to terminate fragment processing once sufficient opacity has been accumulated, and to skip empty space along the rays of sight. We demonstrate performance gains up to a factor of 3 for typical renditions of volumetric data sets on the ATI 9700 graphics card.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Efficient ray tracing of volume data
Levoy, M. (1990) · ACM Transactions on Graphics · doi:10.1145/78964.78965 · Cited by 991
Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
Cabral, B., Cam, N., & Foran, J. (1994) · Proceedings of the 1994 symposium on Volume visualization - VVS '94 · doi:10.1145/197938.197972 · Cited by 890
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Engel, K., Kraus, M., & Ertl, T. (2001) · doi:10.1145/383507.383515 · Cited by 457
Rezk-Salama, C., Engel, K., Bauer, M., Greiner, G., & Ertl, T. (2000) · Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware · doi:10.1145/346876.348238 · Cited by 281
Ray tracing on programmable graphics hardware
Purcell, T. J., Buck, I., Mark, W. R., & Hanrahan, P. (2002) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/566570.566640 · Cited by 141
Cited by
A CNN Regression Approach for Real-Time 2D/3D Registration
Miao, S., Wang, Z. J., & Liao, R. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2521800 · Cited by 514
GPU Accelerated Generation of Digitally Reconstructed Radiographs for 2-D/3-D Image Registration
Dorgham, O. M., Laycock, S. D., & Fisher, M. H. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2207898 · Cited by 56
Metadata
- Authors
- Kruger, J., & Westermann, R.
- Venue
- IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
- Publisher
- IEEE
- Published
- 2003-01-01
- Pages
- 287-292
- OpenAlex
- W3151224251
- Cited by
- 312
- References
- 5
- FWCI
- 8.93
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.