Reconstruction of three-dimensional flame with color temperature

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• 作者：Zhaohui Wu ; Zhong Zhou ; Delei Tian ; Wei Wu
• 关键词：Color distortion ; Color temperature ; Multiplication reconstruction ; Visual hull ; Three ; dimensional reconstruction ; Flame/fire
• 刊名：The Visual Computer
• 出版年：2015
• 出版时间：May 2015
• 年：2015
• 卷：31
• 期：5
• 页码：613-625
• 全文大小：3,241 KB
• 参考文献：1.Wu, Z., Zhou, Z., Wu, W.: Realistic fire simulation: a survey. In: Computer-Aided Design and Computer Graphics (CAD/Graphics), pp. 333鈥?40 (2011)
  2.Zhao, Q.P.: Data acquisition and simulation of natural phenomena. Sci. China Inf. Sci. 54(4), 683鈥?16 (2011)View Article
  3.Hasinoff, S.W., Kutulakos, K.N.: Photo-consistent 3D fire by flame-sheet decomposition. In: IEEE International Conference on Computer Vision, pp. 1184鈥?191 (2003)
  4.Hossain, M.M., Lu, G., Yan, Y.: Measurement of flame temperature distribution using optical tomographic and two-color pyrometric techniques. In: IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1856鈥?860 (2012)
  5.Ihrke, I., Magnor, M.: Image-based tomographic reconstruction of flames. In: Proceedings of ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 365鈥?73 (2004)
  6.Bheemul, H.C., Lu, G., Yan, Y.: Three-dimensional visualization and quantitative characterization of gaseous flames. Meas. Sci. Technol. 13, 1643鈥?650 (2002)View Article
  7.Upton, T.D., Verhoeven, D.D., Hudgins, D.E.: High-resolution computed tomography of a turbulent reacting flow. Exp. Fluids. 50(1), 125鈥?34 (2011)
  8.Atcheson, B., Ihrke, I., Heidrich, W., Tevs, A., Bradley, D., Magnor, M., Seidel, H.P.: Time-resolved 3d capture of non-stationary gas flows. ACM Trans. Graph. 27(5), 1鈥?0 (2008)View Article
  9.Ishino, Y., Takeuchi, K., Shiga, S., Ohiwa, N.: Measurement of instantaneous 3D-distribution of local burning velocity on a turbulent premixed flame by non-scanning 3D-CT reconstruction. Proc. Eur. Combust. Meet. 810178, 1鈥? (2009)
  10.Wang, X., Wu, Z., Zhou, Z., Wang, Y., Wu, W.: Temperature field reconstruction of combustion flame based on high dynamic range images. Opt. Eng. 52(4), 43601:1鈥?3601:10 (2013)MathSciNet
  11.Fu, T., Wang, Z., Cheng, X.: Temperature measurements of diesel fuel combustion with multicolor pyrometry. J. Heat Transf. 132(5), 051602:1鈥?51602:7 (2010)View Article
  12.Ishino, Y., Ohiwa, N.: Three-Dimensional computerized tomographic reconstruction of instantaneous distribution of emission intensity in turbulent premixed flames. In: Lean Combustion Technology, vol. 2, pp. 1鈥? (2001)
  13.Gilabert, G., Lu, G., Yan, Y.: Three dimensional visualisation and reconstruction of the luminosity distribution of a flame using digital imaging techniques. J. Phys. Conf. Seri. 15(2005), 167鈥?71 (2005)View Article
  14.Gilabert, G., Lu, G., Yan, Y.: Three-dimensional tomographic reconstruction of the luminosity distribution of a combustion flame. IEEE Trans. Instrum. Meas. 56(4), 1300鈥?306 (2007)View Article
  15.Sezgin, M.: Survey over image thresholding techniques and quantitative performance evaluation. J. Elect. Imaging 13(1), 146鈥?68 (2004)View Article MathSciNet
  16.Zhao, H., Feng, H., Xu, Z., Li, Q.: Research on temperature distribution of combustion flames based on high dynamic range imaging. Opt. Laser Technol. 39(7), 1351鈥?359 (2007)View Article
  17.Rybicki, G.B., Lightman, A.P.: Radiative Processes in Sstrophysics. Wiley, London (2004)
  18.Luo, Z., Zhou, H.C.: A combustion-monitoring system with 3-D temperature reconstruction based on flame-image processing technique. IEEE Trans. Instrum. Meas. 56(5), 1877鈥?882 (2007)View Article MathSciNet
  19.Zhang, X., Cheng, Q., Lou, C., Zhou, H.: An improved colorimetric method for visualization of 2-D, inhomogeneous temperature distribution in a gas fired industrial furnace by radiation image processing. In: Proceedings of the Combustion Institute, vol. 33, no. 2, pp. 2755鈥?762 (2011)
  20.Tkalcic, M., Tasic, J.F.: Colour spaces: perceptual, historical and applicational background. In: Eurocon 2003, vol. 1, pp. 1鈥? (2003)
  21.Walker, J.: Colour rendering of spectra. http://鈥媤ww.鈥媐ourmilab.鈥媍h/鈥媎ocuments/鈥媠pecrend/鈥?/span> (2003). Accessed Apr 25, 2014
  22.Hunt, R., Pointer, M.R.: A colour-appearance transform for the CIE 1931 standard colorimetric observer. Color Res. Appl. 10(3), 165鈥?79 (1985)View Article
  23.Pardo, P.J., Cordero, E.M., Suero, M.I., Prez, L.: Influence of the correlated color temperature of a light source on the color discrimination capacity of the observer. J. Opt. Soc. Am. A Opt. Image Sci. Vis. 29(2), A209鈥揂215 (2012)View Article
  24.Oleari, C., Melgosa, M., Huertas, R.: Euclidean color-difference formula for small-medium color differences in log-compressed OSA-UCS space. J. Opt. Soc. Am. A Opt. Image Sci. Vis. 26(1), 121鈥?34 (2009)View Article
  25.Artbeats: ReelFire 2. http://鈥媤ww.鈥媋rtbeats.鈥媍om/鈥媍ollections/鈥?14-ReelFire-2 . Accessed Apr 25, 2014
  26.Szeliski, R.: Rapid octree construction from image sequences. Comput. Vis. Image Underst. 58(1), 23鈥?2 (1993)View Article
  27.Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330鈥?334 (2000)View Article
  28.Gregson, J., Krimerman, M., Hullin, M.B., Heidrich, W.: Stochastic tomography and its applications in 3d imaging of mixing fluids. ACM Trans. Graph. 31(4), 52 (2012)View Article
  
• 作者单位：Zhaohui Wu (1)
  Zhong Zhou (1)
  Delei Tian (1)
  Wei Wu (1)
  
  1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang Univeristy, Beijing聽, 100191, China
  
• 刊物类别：Computer Science
• 刊物主题：Computer Graphics
  Computer Science, general
  Artificial Intelligence and Robotics
  Image Processing and Computer Vision
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-2315

文摘

The reconstruction of flame from the captured images is a difficult and computationally expensive problem. Reconstruction from color images will keep the colorful appearance, as is beneficial for visually realistic flame modeling. Most of existing color-image-based methods rebuild three density fields from RGB intensities; however, these methods suffer from the color distortion problem due to the high correlation of RGB intensities. A novel method for 3D flame reconstruction using color temperature is presented in this paper. Color-temperature mapping is calculated to avoid color distortion; this method maps the RGB intensities into the color temperature and its joint intensity. We improve the multiplication reconstruction with visual hull restriction so that the energy distribution is more reasonable, which allows avoidance of the impossible zones. Experimental results indicate that our approach is efficient in the visually plausible 3D flame generation and produces better color restorations.