Citation: | SHAO Jingxuan, TIAN Ge, HAN Jing, et al., “Visualization and Analysis of the Volume Dataset for Time-Varing Electromagnetic Simulation,” Chinese Journal of Electronics, vol. 29, no. 5, pp. 973-981, 2020, doi: 10.1049/cje.2020.08.014 |
H.J. Zhou, Y. Liu, H.Y. Li, et al., "Computational electromagnetics and applications in numerical simulation of electromagnetic environmental effects and development tendency", Computational Physics, Vol.31, No.4, pp.379-389, 2014. (in Chinese).
|
G. Kindlmann, R. Whitaker, T. Tasdizen, et al., "Curvaturebased transfer functions for direct volume rendering:Methods and applications", in IEEE Visualization, Seattle, WA, USA, pp.513-520, 2003.
|
M.A. Selver, "Exploring brushlet based 3D textures in transfer function specification for direct volume rendering of abdominal organs", IEEE Transactions on Visualization and Computer Graphics, Vol.21, No.2, pp.174-187, 2015.
|
S. Wesarg, M. Kirschner and M.F. Khan, "2D histogram based volume visualization:Combining intensity and size of anatomical structures", International Journal of Computer Assisted Radiology and Surgery, Vol.5, No.6, pp.655-66, 2010.
|
S. Biasotti, L.D. Floriani, B. Falcidieno, et al., "Describing shapes by geometrical-topological properties of real functions", ACM Computing Surveys, Vol.40, No.4, pp.1-87, 2008.
|
C. Correa and K.L. Ma, "The occlusion spectrum for volume classification and visualization", IEEE Transactions on Visualization and Computer Graphics, Vol.15, No.6, pp.1465-1472, 2009.
|
P. Kalshetti, P. Rahangdale, D. Jangra, et al., "Antara:An interactive 3D volume rendering and visualization framework", https://arxiv.org/pdf/1812.04233.pdf,2018-12-11.
|
C. Lundstrom, P. Ljung, A. Persson, et al., "Uncertainty visualization in medical volume rendering using probabilistic animation", IEEE Transactions on Visualization and Computer Graphics, Vol.13, No.6, pp.1648-1655, 2007.
|
M.K. Liu, "Visualizing time-varying volume data", Computing in Science and Engineering, Vol.5, No.2, pp.34-42, 2003.
|
Y. Peng, L. Chen and J.H. Yong, "Large-scale time-varying data volume rendering and feature tracking", Journal of Computer-Aided Design and Computer Graphics, Vol.25, No.11, pp.1614-1622, 2013. (in Chinese).
|
J. Woodring and H.W. Shen, "Chronovolumes:A direct rendering technique for visualizing time-varying data", in Eurographics/IEEE TVCG Workshop On Volume Graphics, Tokyo, Japan, pp.27-34, 2003.
|
K. Tian, "High-Dimensional time-varying data Visualization System", Ph.D. Thesis, Zhejiang University, China, 2013. (in Chinese).
|
X.M. Feng, L.D. Wu and S.W. Dong, "Cuda accelerated real-time rendering for dynamic electromagnetic environment volume data", Journal of System Simulation, Vol.26, No.9, pp.2044-2049, 2014. (in Chinese).
|
X.M. Feng, L.D. Wu, R.H. Yu, et al., "Accelerated rendering for electromagnetic environment under single device restriction", Journal of National University of Defense Technology, Vol.38, No.4, pp.69-75, 2016. (in Chinese).
|
B. Han, "Osg based real-time volume rendering algorithm for electromagnetic environment", in 2018 International Conference on Computer Science and Software Engineering, Jiangsu, China, pp.51-62, 2018.
|
J.A. Stuart, C.K. Chen, K.L. Ma, et al., "Multi-GPU volume rendering using mapreduce", in ACM International Symposium on High Performance Distributed Computing, New York, USA, pp.841-848, 2010.
|
W.G. Pan, N. He, J. Xue, et al., "Research of large ultrasonic data visualization", Chinese Journal of Electronics, Vol.44, No.2, pp.472-478, 2016. (in Chinese).
|
Z.Y. Ding, H.D. Chen, F.R. Wu, et al., "A survey of multivariate spatial data visualization", Journal of ComputerAided Design and Computer Graphics, Vol.25, No.11, pp.1597-1605, 2013. (in Chinese).
|
K.W. Lu and H.W. Shen, "Multivariate volumetric data analysis and visualization through bottom-up subspace exploration", in 2017 IEEE Pacific Visualization Symposium (PacificVis), Seoul, South Kerean, pp.141-150, 2017.
|
W.B. He, X.T. Liu, H.W. Shen, et al., "Range likelihood tree:A compact and effective representation for visual exploration of uncertain data sets", IEEE Pacific Visualization Symposium (PacificVis), Seoul, South Kerean, pp.151-160, 2017.
|
Z.Y. Ding, Z. Ding, W.F. Chen, et al., "Visual inspection of multivariate volume data based on multi-class noise sampling", Visual Computer, Vol.32, No.4, pp.465-478, 2016.
|
W.H. Wang, Z.Q. Yun, Q.J. Feng, et al., "PET-CT multimodal volume rendering designed using dual transfer functions", Computer Applications and Software, Vol.30, No.10, pp.269-272, 2013. (In Chinese).
|
R. Khlebnikov, B. Kainz, M. Steinberger, et al., "Noisebased volume rendering for the visualization of multivariate volumetric data", IEEE Transactions on Visualization and Computer Graphics, Vol.19, No.12, pp.2926-2935, 2013.
|
L. Zhou and C. Hansen, "Guideme:Slice-guided semiautomatic multivariate exploration of volumes", Computer Graphics Forum, Vol.33, No.3, pp.151-160, 2014.
|
E. Gobbetti, J.A.I. Guitian and F. Marton, "Covra a compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks", Computer Graphics Forum, Vol.31, No.3, pp.1315-1324, 2012.
|