Article

Adaptive Illumination Sampling for Direct Volume Rendering

Authors:

Valentin Kraft,

Christian SchumannAuthors Info & Claims

Advances in Computer Graphics: 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20–23, 2020, Proceedings

Pages 107 - 118

https://doi.org/10.1007/978-3-030-61864-3_10

Published: 20 October 2020 Publication History

Abstract

Direct volume rendering is used to visualize data from sources such as tomographic imaging devices. The perception of certain structures depends very much on visual cues such as lighting and shadowing. According illumination techniques have been proposed for both surface rendering and volume rendering. However, in the case of direct volume rendering, some form of precomputation is typically required for real-time rendering. This however limits the application of the visualization. In this work we present adaptive volumetric illumination sampling, a ray-casting-based direct volume rendering method that strongly reduces the amount of necessary illumination computations without introducing any noise. By combining it with voxel cone tracing, realistic lighting including ambient occlusion and image-based lighting is facilitated in real-time. The method only requires minimal precomputation and allows for interactive transfer function updates and clipping of the visualized data.

References

[1]

Campagnolo LQ and Celes W Interactive directional ambient occlusion and shadow computations for volume ray casting Comput. Graph. 2019 84 66-76

[2]

Crassin C, Neyret F, Sainz M, Green S, and Eisemann E Interactive indirect illumination using voxel cone tracing Comput. Graph. Forum 2011 30 7 1921-1930

[3]

Drebin, R.A., Carpenter, L., Hanrahan, P.: Volume rendering. Comput. Graph. 22(4), 65–74 (1988)

[4]

Hernell, F., Ljung, P., Ynnerman, A.: Interactive global light propagation in direct volume rendering using local piecewise integration. In: IEEE/ EG Symposium on Volume and Point-Based Graphics, pp. 105–112 (2008)

[5]

Hernell F, Ljung P, and Ynnerman A Local ambient occlusion in direct volume rendering IEEE Trans. Vis. Comput. Graph. 2010 16 4 548-559

[6]

Jönsson D, Sundén E, Ynnerman A, and Ropinski T A survey of volumetric illumination techniques for interactive volume rendering Comput. Graph. Forum 2014 33 1 27-51

[7]

Klehm, O., Ritschel, T., Eisemann, E., Seidel, H.P.: Bent normals and cones in screen-space. In: VMV 2011 - Vision, Modeling and Visualization, pp. 177–182 (2011)

[8]

Kroes, T., Post, F.H., Botha, C.P.: Exposure render: an interactive photo-realistic volume rendering framework. PLoS ONE 7(7) (2012)

[9]

Kroes, T., Schut, D., Eisemann, E.: Smooth probabilistic ambient occlusion for volume rendering. In: GPU Pro, vol. 6, pp. 475–485 (2016)

[10]

Landis, H.: Production-ready global illumination. In: Course notes on RenderMan in Production, p. 15 (2002)

[11]

Langer MS and Bülthoff HH Depth discrimination from shading under diffuse lighting Perception 2000 29 6 649-660

[12]

Lindemann F and Ropinski T About the influence of illumination models on image comprehension in direct volume rendering IEEE Trans. Vis. Comput. Graph. 2011 17 12 1922-1931

[13]

Martschinke J, Hartnagel S, Keinert B, Engel K, and Stamminger M Adaptive temporal sampling for volumetric path tracing of medical data Comput. Graph. Forum 2019 38 4 67-76

[14]

Max N Optical models for direct volume rendering IEEE Trans. Vis. Comput. Graph. 1995 1 2 99-108

[15]

Mittring, M.: Finding next gen: CryEngine 2. In: ACM SIGGRAPH 2007 Courses, p. 97 (2007)

[16]

Ropinski T, Meyer-Spradow J, Diepenbrock S, Mensmann J, and Hinrichs K Interactive volume rendering with dynamic ambient occlusion and color bleeding Comput. Graph. Forum 2008 27 2 567-576

[17]

Schlegel P, Makhinya M, and Pajarola R Extinction-based shading and illumination in GPU volume ray-casting IEEE Trans. Vis. Comput. Graph. 2011 17 12 1795-1802

[18]

Stewart AJ Vicinity shading for enhanced perception of volumetric data IEEE Vis. 2003 2003 355-362

[19]

Zheng L, Chaudhari AJ, Badawi RD, and Ma KL Using global illumination in volume visualization of rheumatoid arthritis CT data IEEE Comput. Graph. Appl. 2014 34 6 16-23

[20]

Zhukov, S., Iones, A., Kronin, G.: An ambient light illumination model. In: Rendering Techniques 1998, pp. 45–55 (1998)

Cited By

Kraft VSchumann CSalzmann DWeyhe DZachmann GSchenk A(2024)A Clinical User Study Investigating the Benefits of Adaptive Volumetric Illumination SamplingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.335392630:12(7571-7578)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3353926
Reinschluessel AMuender TFischer RKraft VUslar VWeyhe DSchenk AZachmann GDöring TMalaka R(2023)Versatile Immersive Virtual and Augmented Tangible OR – Using VR, AR and Tangibles to Support Surgical PracticeExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583895(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3583895

Index Terms

Adaptive Illumination Sampling for Direct Volume Rendering
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
  2. Computer graphics
2. Theory of computation
  1. Randomness, geometry and discrete structures

Index terms have been assigned to the content through auto-classification.

Recommendations

Global illumination models for volume rendering
Shear-image order ray casting volume rendering
I3D '03: Proceedings of the 2003 symposium on Interactive 3D graphics

This paper describes shear-image order ray casting, a new method for volume rendering. This method renders sampled data in three dimensions with image quality equivalent to the best of ray-per-pixel volume rendering algorithms (full image order), while ...
Volume Ray Casting with Peak Finding and Differential Sampling

Direct volume rendering and isosurfacing are ubiquitous rendering techniques in scientific visualization, commonly employed in imaging 3D data from simulation and scan sources. Conventionally, these methods have been treated as separate modalities, ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings

Advances in Computer Graphics: 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20–23, 2020, Proceedings

Oct 2020

561 pages

ISBN:978-3-030-61863-6

DOI:10.1007/978-3-030-61864-3

Editors:
Nadia Magnenat-Thalmann
University of Geneva, Geneva, Switzerland
,
Constantine Stephanidis
University of Crete, Heraklion, Greece
,
Enhua Wu
University of Macau, Macau, China
,
Daniel Thalmann
Swiss Federal Institute of Technology, Lausanne, Switzerland
,
Bin Sheng
Shanghai Jiao Tong University, Shanghai, China
,
Jinman Kim
University of Sydney, Sydney, Australia
,
George Papagiannakis
University of Crete, Heraklion, Greece
,
Marina Gavrilova
University of Calgary, Calgary, AB, Canada

© Springer Nature Switzerland AG 2020.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 20 October 2020

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Kraft VSchumann CSalzmann DWeyhe DZachmann GSchenk A(2024)A Clinical User Study Investigating the Benefits of Adaptive Volumetric Illumination SamplingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.335392630:12(7571-7578)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3353926
Reinschluessel AMuender TFischer RKraft VUslar VWeyhe DSchenk AZachmann GDöring TMalaka R(2023)Versatile Immersive Virtual and Augmented Tangible OR – Using VR, AR and Tangibles to Support Surgical PracticeExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583895(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3583895

View Options

View options

Media

Figures

Other

Tables

View Table of Contents