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http://dx.doi.org/10.15701/kcgs.2018.24.2.29

Improvement Depth Perception of Volume Rendering using Virtual Reality  

Choi, JunYoung (Ulsan National Institute of Science and Technology (UNIST))
Jeong, HaeJin (Ulsan National Institute of Science and Technology (UNIST))
Jeong, Won-Ki (Ulsan National Institute of Science and Technology (UNIST))
Publication Information
Journal of the Korea Computer Graphics Society / v.24, no.2, 2018 , pp. 29-40 More about this Journal
Abstract
Direct volume rendering (DVR) is a commonly used method to visualize inner structures in 3D volumetric datasets. However, conventional volume rendering on a 2D display lacks depth perception due to dimensionality reduction caused by ray casting. In this work, we investigate how emerging Virtual Reality (VR) can improve the usability of direct volume rendering. We developed real-time high-resolution DVR system in virtual reality, and measures the usefulness of volume rendering with improved depth perception via a user study conducted by 38 participants. The result indicates that virtual reality significantly improves the usability of DVR by allowing better depth perception.
Keywords
Depth Perception; Volume Rendering; Virtual Reality; Computer Graphics; User Study;
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1 M. Hadwiger, J. M. Kniss, C. Rezk-salama, D.Weiskopf, and K. Engel, Real-time Volume Graphics. Natick, MA, USA: A. K. Peters, Ltd., 2006.
2 R. A. Drebin, L. Carpenter, and P. Hanrahan, "Volume rendering," in Proceedings of the 15th Annual Conference on Computer Graphics and Interactive Techniques, ser. SIGGRAPH '88. New York, NY, USA: ACM, 1988, pp. 65-74. [Online]. Available: http://doi.acm.org/10.1145/54852.378484
3 S. J. Adelson and C. D. Hansen, "Fast stereoscopic images with ray-traced volume rendering," in Proceedings of the 1994 symposium on Volume visualization. ACM, 1994, pp. 3-9.
4 C. Correa and K. L. Ma, "Size-based Transfer Functions: A New Volume Exploration Technique," IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1380-1387, Nov. 2008.   DOI
5 L.-L. Cai, B. P. Nguyen, C.-K. Chui, and S.-H. Ong, "Rule-Enhanced Transfer Function Generation for Medical Volume Visualization," Computer Graphics Forum, vol. 34, no. 3, pp. 121-130, June 2015.
6 P. Ljung, J. Kruger, E. Groller, M. Hadwiger, C. D. Hansen, and A. Ynnerman, "State of the art in transfer functions for direct volume rendering," in Computer Graphics Forum, vol. 35, no. 3. Wiley Online Library, 2016, pp. 669-691.
7 T. M. Quan, J. Choi, H. Jeong, and W.-K. Jeong, "An intelligent system approach for probabilistic volume rendering using hierarchical 3d convolutional sparse coding," IEEE Transactions on Visualization and Computer Graphics, 2017.
8 H. Guo, N. Mao, and X. Yuan, "Wysiwyg (what you see is what you get) volume visualization," IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, pp. 2106-2114, 2011.   DOI
9 K. P. Soundararajan and T. Schultz, "Learning Probabilistic Transfer Functions: A Comparative Study of Classifiers," Computer Graphics Forum, vol. 34, no. 3, pp. 111-120, June 2015.
10 J. G. Magnus and S. Bruckner, "Interactive dynamic volume illumination with refraction and caustics," IEEE Transactions on Visualization and Computer Graphics, 2017.
11 L. Zheng and K.-L. Ma, "Enhancing volume visualization with lightness anchoring theory," in Proceedings of the Computer Graphics International Conference. ACM, 2017, p. 20.
12 M. Sousa, D. Mendes, S. Paulo, N. Matela, J. Jorge, and D. S. Lopes, "Vrrrroom: Virtual reality for radiologists in the reading room," in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017, pp. 4057-4062.
13 M. Schott, A. Pascal Grosset, T. Martin, V. Pegoraro, S. T. Smith, and C. D. Hansen, "Depth of field effects for interactive direct volume rendering," in Computer Graphics Forum, vol. 30, no. 3. Wiley Online Library, 2011, pp. 941-950.
14 A. P. Grosset, M. Schott, G.-P. Bonneau, and C. D. Hansen, "Evaluation of depth of field for depth perception in dvr," in Visualization Symposium (PacificVis), 2013 IEEE Pacific. IEEE, 2013, pp. 81-88.
15 M. Mauderer, S. Conte, M. A. Nacenta, and D. Vishwanath, "Depth perception with gaze-contingent depth of field," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ser. CHI '14. New York, NY, USA: ACM, 2014, pp. 217-226. [Online]. Available: http://doi.acm.org/10.1145/2556288.2557089
16 B. T. Phong, "Illumination for computer generated pictures," Communications of the ACM, vol. 18, no. 6, pp. 311-317, 1975.   DOI
17 A. Patney, M. Salvi, J. Kim, A. Kaplanyan, C. Wyman, N. Benty, D. Luebke, and A. Lefohn, "Towards foveated rendering for gaze-tracked virtual reality," ACM Trans. Graph., vol. 35, no. 6, pp. 179:1-179:12, Nov. 2016. [Online]. Available: http://doi.acm.org/10.1145/2980179.2980246
18 J. Kruger and R. Westermann, "Acceleration techniques for gpu-based volume rendering," in Proceedings of the 14th IEEE Visualization 2003 (VIS'03). IEEE Computer Society, 2003, p. 38.