Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Footprint evaluation for volume rendering
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Hierarchical splatting: a progressive refinement algorithm for volume rendering
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
A coherent projection approach for direct volume rendering
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
A volume density optical model
VVS '92 Proceedings of the 1992 workshop on Volume visualization
Splatting: a parallel, feed-forward volume rendering algorithm
Splatting: a parallel, feed-forward volume rendering algorithm
Volume reconstruction and parallel rendering algorithms: a comparative analysis
Volume reconstruction and parallel rendering algorithms: a comparative analysis
ACM Transactions on Graphics (TOG)
Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
VVS '94 Proceedings of the 1994 symposium on Volume visualization
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Evaluation of visualization software
ACM SIGGRAPH Computer Graphics - Special focus: modular visualization environments (MVEs)
Direct volume rendering with shading via three-dimensional textures
Proceedings of the 1996 symposium on Volume visualization
A comparison of normal estimation schemes
VIS '97 Proceedings of the 8th conference on Visualization '97
Time and space optimal data parallel volume rendering using permutation warping
Journal of Parallel and Distributed Computing
Opacity-weighted color interpolation, for volume sampling
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Design of accurate and smooth filters for function and derivative reconstruction
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Structured spatial domain image and data comparison metrics
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Optical Models for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Frequency Analysis of Gradient Estimators in Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Reconstruction Error Characterization and Control: A Sampling Theory Approach
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
Image Quality Improvements in Volume Rendering
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Studies in Comparative Visualization of Flow Features
Scientific Visualization, Overviews, Methodologies, and Techniques
Ray-Based Data Level Comparisons of Direct Volume Rendering Algorithms
Dagstuhl '97, Scientific Visualization
An evaluation of reconstruction filters for volume rendering
VIS '94 Proceedings of the conference on Visualization '94
Real-time haptic sculpting in virtual volume space
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
Evaluation of Image Quality in Medical Volume Visualization: The State of the Art
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Comparative Flow Visualization
IEEE Transactions on Visualization and Computer Graphics
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
A-PARM: Adaptive Division of Sub-cells in the PARM for Efficient Volume Ray Casting
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
A boundary surface based ray casting using 6-depth buffers
CIS'04 Proceedings of the First international conference on Computational and Information Science
PARM: data structure for efficient volume ray casting
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Bidirectional distancemap for efficient volume ray casting
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
A perceptual framework for comparisons of direct volume rendered images
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Estimation and modeling of actual numerical errors in volume rendering
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
GPU-accelerated direct volume rendering of finite element data sets
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
| Hi-index | 0.00 |
Direct volume rendering (DVR) algorithms do not generate intermediate geometry to create a visualization, yet they produce countless variations in the resulting images. Therefore, comparative studies are essential for objective interpretation. Even though image and data level comparison metrics are available, it is still difficult to compare results because of the numerous rendering parameters and algorithm specifications involved. Most of the previous comparison methods use information from the final rendered images only. We overcome limitations of image level comparisons with our data level approach using intermediate rendering information. We provide a list of rendering parameters and algorithm specifications to guide comparison studies. We extend Williams and Uselton's rendering parameter list with algorithm specification items and provide guidance on how to compare algorithms. Real data are often too complex to study algorithm variations with confidence. Most of the analytic test data sets reported are often useful only for a limited feature of DVR algorithms. We provide simple and easily reproducible test data sets, a checkerboard and a ramp, that can make clear differences in a wide range of algorithm variations. With data level metrics, our test data sets make it possible to perform detailed comparison studies. A number of examples illustrate how to use these tools.