Line Integral Convolution for Real-Time Illustration of Molecular Surface Shape and Salient Regions

We present a novel line drawing algorithm that illustrates surfaces in real‐time to convey their shape. We use line integral convolution (LIC) and employ ambient occlusion for illustrative surface rendering. Furthermore, our method depicts salient regions based on the illumination gradient. Our meth...

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Vydané v:Computer graphics forum Ročník 33; číslo 3; s. 181 - 190
Hlavní autori: Lawonn, Kai, Krone, Michael, Ertl, Thomas, Preim, Bernhard
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.06.2014
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ISSN:0167-7055, 1467-8659
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Abstract We present a novel line drawing algorithm that illustrates surfaces in real‐time to convey their shape. We use line integral convolution (LIC) and employ ambient occlusion for illustrative surface rendering. Furthermore, our method depicts salient regions based on the illumination gradient. Our method works on animated surfaces in a frame‐coherent manner. Therefore, it yields an illustrative representation of time‐dependent surfaces as no preprocessing step is needed. In this paper, the method is used to highlight the structure of molecular surfaces and to illustrate important surface features like cavities, channels, and pockets. The benefit of our method was evaluated with domain experts. We also demonstrate the applicability of our method to medical visualization.
AbstractList We present a novel line drawing algorithm that illustrates surfaces in real‐time to convey their shape. We use line integral convolution (LIC) and employ ambient occlusion for illustrative surface rendering. Furthermore, our method depicts salient regions based on the illumination gradient. Our method works on animated surfaces in a frame‐coherent manner. Therefore, it yields an illustrative representation of time‐dependent surfaces as no preprocessing step is needed. In this paper, the method is used to highlight the structure of molecular surfaces and to illustrate important surface features like cavities, channels, and pockets. The benefit of our method was evaluated with domain experts. We also demonstrate the applicability of our method to medical visualization.
We present a novel line drawing algorithm that illustrates surfaces in real-time to convey their shape. We use line integral convolution (LIC) and employ ambient occlusion for illustrative surface rendering. Furthermore, our method depicts salient regions based on the illumination gradient. Our method works on animated surfaces in a frame-coherent manner. Therefore, it yields an illustrative representation of time-dependent surfaces as no preprocessing step is needed. In this paper, the method is used to highlight the structure of molecular surfaces and to illustrate important surface features like cavities, channels, and pockets. The benefit of our method was evaluated with domain experts. We also demonstrate the applicability of our method to medical visualization. [PUBLICATION ABSTRACT]
Author Ertl, Thomas
Lawonn, Kai
Krone, Michael
Preim, Bernhard
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  givenname: Bernhard
  surname: Preim
  fullname: Preim, Bernhard
  organization: Department of Simulation and Graphics, University of Magdeburg, Germany
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References_xml – reference: Muthukrishnan R., Radha M.: Edge detection techniques for image segmentation. IJCSIT 3, 6 (2011). 3
– reference: Chavent M., Lévy B., Krone M., Bidmon K., Nominé J.-P., Ertl T., Baaden M.: GPU-powered tools boost molecular visualization. Brief. Bioinform. 12, 6 (2011), 689-701. 3
– reference: Senthilkumaran N., Rajesh R.: Edge detection techniques for image segmentation - a survey of soft computing approaches. IJRTE 1, 2 (2009). 3
– reference: Falk M., Krone M., Ertl T.: Atomistic visualization of mesoscopic whole-cell simulations using ray-casted instancing. Comp. Graph. Forum 32, 8 (2013), 195-206. 3
– reference: Richards F.M.: Areas, volumes, packing, and protein structure. Annu. Rev Biophys. Bio. 6, 1 (1977), 151-176. 2
– reference: Krone M., Bidmon K., Ertl T.: Interactive visualization of molecular surface dynamics. IEEE TVCG 15, 6 (2009), 1391-1398. 2
– reference: Xie X., He Y., Tian F., Seah H.-S., Gu X., Qin H.: An effective illustrative visualization framework based on photic extremum lines. IEEE TVCG 13 (2007), 1328-1335. 3
– reference: Viola I.: Importance-Driven Expressive Visualization. PhD thesis, Institute of Computer Graphics and Algorithms, Vienna University of Technology, June 2005. 1
– reference: Canny J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 6 (June 1986), 679-698. 3
– reference: Botsch M., Kobbelt L., Pauly M., Alliez P., uno Levy B.: Polygon Mesh Processing. AK Peters, 2010. 3
– reference: Berman H.M., Westbrook J., Feng Z., Gilliland G., Bhat T.N., Weissig H., Shindyalov I.N., Bourne P.E.: The protein data bank. Nucleic Acids Res 28 (2000), 235-242. URL: http://www.pdb.org. 3, 7
– reference: Goodsell D.S., Olson A.J.: Molecular illustration in black and white. J Mol Graph 10 (1992), 235-240. 2
– reference: Kim Y., Yu J., Yu X., Lee S.: Line-art illustration of dynamic and specular surfaces. vol. 27, pp. 156:1-156:10. 3
– reference: Zander J., Isenberg T., Schlechtweg S., Strothotte T.: High quality hatching. Comp. Graph. Forum 23, 3 (2004), 421-430. 3, 6
– reference: Sanner M.F., Olson A.J., Spehner J.-C.: Reduced Surface: An efficient way to compute molecular surfaces. Biopolymers 38, 3 (1996), 305-320. 7
– reference: Luft T., Colditz C., Deussen O.: Image enhancement by unsharp masking the depth buffer. ACM Transactions on Graphics 25, 3 (2006), 1206-1213. 2
– reference: Tarini M., Cignoni P., Montani C.: Ambient occlusion and edge cueing for enhancing real time molecular visualization. IEEE TVCG 12, 5 (2006), 1237-1244. 2, 4
– reference: Krone M., Stone J.E., Ertl T., Schulten K.: Fast visualization of gaussian density surfaces for molecular dynamics and particle system trajectories. In EG EuroVis 2012 Short Papers (2012), vol. 1, pp. 67-71. 7
– reference: Lampe O.D., Viola I., Reuter N., Hauser H.: Two-level approach to efficient visualization of protein dynamics. IEEE TVCG 13, 6 (2007), 1616-1623. 2
– reference: Lipsa D.R., Laramee R.S., Cox S.J., Roberts J.C., Walker R., Borkin M., Pfister H.: Visualization for the physical sciences. Comp. Graph. Forum 31, 8 (2012), 2317-2347. 3
– reference: Zhang L., He Y., Xia J., Xie X., Chen W.: Real-time shape illustration using laplacian lines. IEEE TVCG 17 (2011), 993-1006. 3
– reference: Falk M., Weiskopf D.: Output-sensitive 3d line integral convolution. IEEE TVCG 14, 4 (2008), 820-834. 2
– reference: Humphrey W., Dalke A., Schulten K.: VMD - Visual Molecular Dynamics. J Mol Graph 14 (1996), 33-38. 7
– reference: van der Zwan M., Lueks W., Bekker H., Isenberg T.: Illustrative molecular visualization with continuous abstraction. Comp. Graph. Forum 30, 3 (2011), 683-690. 2
– reference: O'Donoghue S.I., Goodsell D.S., Frangakis A.S., Jossinet F., Laskowski R.A., Nilges M., Saibil H.R., Schafferhans A., Wade R.C., Westhof E., Olson A.J.: Visualization of macromolecular structures. Nature methods 7, 3 Suppl (2010). 3
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Snippet We present a novel line drawing algorithm that illustrates surfaces in real‐time to convey their shape. We use line integral convolution (LIC) and employ...
We present a novel line drawing algorithm that illustrates surfaces in real-time to convey their shape. We use line integral convolution (LIC) and employ...
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SubjectTerms Algorithms
Analysis
Categories and Subject Descriptors (according to ACM CCS)
Channels
Computer graphics
Convolution
I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation
Illumination
Image processing systems
Integrals
Medical imaging
Molecular structure
Real time
Rendering
Studies
Title Line Integral Convolution for Real-Time Illustration of Molecular Surface Shape and Salient Regions
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Volume 33
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