Rotation Index-Based Vortex Extraction and High Quality Texture Advection for Surface Flow Field

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Vortex detection for surface flow field is a challenging issue in feature visualization. This paper presents a new vortex detection technique for surface flow field based on rotation index. Rotation index is the statistical quantity of vectors around a point, and indicates the rotation character of the sample region around the point. Then, an ELIC-based IBFVS method is applied to visualize the result flow field. A discussion of results is included to demonstrate our algorithm which leads to a more reasonable visualization results.

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1627-1630

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Jeong and F. Hussain. On the identification of a vortex. Journal of Fluid Mechanics, Vol. 28, No. 5, (1995), pp.69-94.

Google Scholar

[2] Haller G. An objective definition of a vortex. Journal of Fluid Mechanics, Vol. 525 (2005), p.1–26.

Google Scholar

[3] P. Christoph, K. Jens, P. Steffen and H. Hanschristian. Hierarchical Vortex Regions in Swirling Flow. Computer Graphics Forum, Vol. 28, No. 1 (2009), pp.863-870.

DOI: 10.1111/j.1467-8659.2009.01463.x

Google Scholar

[4] Xu Huaxun, Li Sikun, Zeng Liang and Cai Xun. Feature-based Adaptive Texture Visualization for Vector Field. Science China Information Sciences. Vol. 56, No. 9 (2013), pp.1-14.

DOI: 10.1007/s11432-011-4505-3

Google Scholar

[5] Xu Huaxun, Cheng Zhiquan, Ralph Martin and Li Sikun. 3D Flow Features Visualization via Fuzzy Clustering. The Visual Computer. Vol. 27 (2011) pp.441-449.

DOI: 10.1007/s00371-011-0577-8

Google Scholar

[6] J.J. van Wijk. Spot Noise-Texture Synthesis for Data Visualization. Computer Graphics (Proc. SIGGRAPH '91), Vol. 25 (1991), pp.309-318.

DOI: 10.1145/127719.122751

Google Scholar

[7] J.J. van Wijk. Image Based Flow Visualization. ACM Trans. Graphics, Volume 21, No. 3 (2002), pp.745-754.

DOI: 10.1145/566654.566646

Google Scholar

[8] J.J. van Wijk. Image Based Flow Visualization for Curved Surfaces, Proceedings of ACM SIGGRAPH '93, (1993), pp.263-270.

Google Scholar

[9] A. Telea and J.J. van Wijk. 3D IBFV: Hardware-Accelerated 3D Flow Visualization. In Proc. IEEE Visualization(2003), pp.233-240.

DOI: 10.1109/visual.2003.1250377

Google Scholar

[10] D. Weiskopf, T. Schafhitzel and T. Ertl. Real-Time Advection and Volumetric Illumination for the Visualization of 3D Unsteady Flow. In Proc. EG/IEEE VGTC Symp. Visualization (Eurovis '05) (2005), pp.13-20.

DOI: 10.1109/tvcg.2007.1045

Google Scholar

[11] D. Weiskopf, T. Schafhitzel and T. Ertl. Texture-Based Visualization of Unsteady 3D Flow by Real-Time Advection and Volumetric Illumination. IEEE Trans. Visualization and Computer Graphics, Volume 13, No. 3(2007), pp.569-582.

DOI: 10.1109/tvcg.2007.1014

Google Scholar