Results 281 to 290 of about 5,853,808 (330)

Volume Visualization in the Clinical Practice

2012
Volumetric data is common in medicine, geology and engineering, but the O(n3) complexity in data and algorithms has prevented the widespread use of volume graphics. Recently, 3D image processing and visualization algorithms have been parallelized and ported to graphics processing units.
Bernhard Kainz, Rupert H. Portugaller, Daniel Seider, Michael Moche, Philipp Stiegler, Dieter Schmalstieg   +5 more
openaire   +1 more source

Direct visualization of volume data

IEEE Computer Graphics and Applications, 1992
A combination of segmentation tools and fast volume renderers that provides an interactive exploration environment for volume visualization is discussed. The tools and renderers include mechanisms that distribute volume data across multiple processors, as well as image compositing techniques and solutions to representation problems in the selection and
Terry S. Yoo, Ulrich Neumann, Henry Fuchs, Stephen M. Pizer, Tim J. Cullip, John Rhoades, Ross T. Whitaker   +6 more
openaire   +1 more source

Volume visualization on shared memory architectures

Parallel Computing, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anton H. J. Koning, Karel J. Zuiderveld, Max A. Viergever   +2 more
openaire   +3 more sources

The Occlusion Spectrum for Volume Classification and Visualization

IEEE Transactions on Visualization and Computer Graphics, 2009
Despite the ever-growing improvements on graphics processing units and computational power, classifying 3D volume data remains a challenge.In this paper, we present a new method for classifying volume data based on the ambient occlusion of voxels. This information stems from the observation that most volumes of a certain type, e.g., CT, MRI or flow ...
Carlos D. Correa, Kwan-Liu Ma
openaire   +2 more sources

Reconstruction Issues in Volume Visualization

2003
Although volume visualization has already grown out of its infancy, the most commonly used reconstruction techniques are still trilinear interpolation for function reconstruction and central differences (most often in conjunction with trilinear interpolation) for gradient reconstruction.
Thomas Theußl, Torsten Möller, Jirí Hladuvka, M. Eduard Gröller   +3 more
openaire   +1 more source

Render brokering for volume visualization

IEEE Concurrency, 1997
Volumetric data rendering is CPU- and memory-intensive. Technological innovations in data acquisition and data generation will probably continue to grow at a rate such that the data produced are orders of magnitude too large to be handled, analyzed, or projected (rendered) on an affordable desktop computer.
openaire   +1 more source

Challenges of volume visualization in medicine

Proceedings of the 26th Spring Conference on Computer Graphics, 2010
Technological development has in the recent decades brought in several new imaging modalities which have significantly influenced medical diagnostics. A doctor has gained a possibility to peek inside the human body without the necessity of surgical intervention.
openaire   +1 more source

Deep learning-based viewpoint recommendation in volume visualization

Journal of Vision, 2019
Changhe Yang, Yanda Li, Can Liu, Xiaoru Yuan   +3 more
semanticscholar   +1 more source

Web-based 3D visualization framework for time-varying and large-volume oceanic forecasting data using open-source technologies

Environmental Modelling and Software, 2021
Bin Feng, Yineng Li, Rufu Qin
exaly  

Flow‐Based Temporal Selection for Interactive Volume Visualization

Computer graphics forum (Print), 2017
S. Frey, T. Ertl
semanticscholar   +1 more source