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Tytuł artykułu

Cumulus cloud synthetic rendering techniques and their evaluations

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Three new techniques for synthesizing realistic renderings of cumulus clouds are introduced and evaluated. The techniques utilize variations of the Perlin Noise and Koch fractals to achieve a reasonable cloud-like shape and texture. To evaluate the quality of renderings produced by the techniques, three classes of texture features are considered using cluster quality measures. Rendering quality is also evaluated versus real images using shape and texture features.
Rocznik
Strony
399--425
Opis fizyczny
Bibliogr. 28 poz., rys., tab., wykr.
Twórcy
autor
  • Departament of Computer Science, University of Alabama in Huntsville, Alabama, USA
autor
  • Departament of Computer Science, University of Alabama in Huntsville, Alabama, USA
Bibliografia
  • [1] Lachenbruch P. A., Mickey M. R.: Estimation of Error Rates in Discriminant Analysis. Technometrics, 10(1), 1-11, 1968.
  • [2] Chellappa R., Chatterjee S.: Classification of Textures Using Gaussian Markov Random Fields. IEEE Trans, on Acoustics, Speech, and Signal Processing, 33(4), 959-963, 1985.
  • [3] Gardner G. Y.: Visual Simulation of Clouds. Computer Graphics (SIGGRAPH’85 Conf. Proceedings), 19(3), 297-304, 1985.
  • [4] Perlin K.: An Image Synthesizer. Proc., SIGGRAPH ’85, San Fransisco, 287-296, 1985.
  • [5] Fogel I., Sagi D.: Gabor Filters as Texture Discriminator. Biological Cybernetics, 61, 103-113, 1989.
  • [6] Lewis J. P.: Algorithms for Solid Noise Synthesis. Proc, of SIGGRAPH ’89, Boston, 263-270, 1989.
  • [7] Cuijpers J., Duynkerke P.: Large Eddy Simulation of Trade Wind Cumulus Clouds. Journal of the Atmospheric Sciences, 50(23), 3894-3908, 1993.
  • [8] Gonzalez R. C., Woods R. E.: Digital Image Processing. New York: Addison-Wesley, 1993.
  • [91 Lamei N.: Cloud-type Discrimination via Multispectral Textural Analysis. Opt. Eng., 33, 1303-1313,1994.
  • [10] Nishita T., Dobashi Y., E. Nakamae E.: A Method for Displaying Metaballs by Using Bezier Clipping. Computer Graphics Forum, 13, 271-280, 1994.
  • [11] Wu C., Doerschuk P.: Texture-Based Segmentation Using Markov Random Fields. Proc., SPIE Conf, on Neural and Stochastic Methods in Image and Signal Processing III, San Diego, CA, 86-93, 1994.
  • [12] Nishita T., Dobashi Y., Nakamae E.: Display of Clouds Taking into Account Multiple Anisotropic Scattering and Sky Light. Proc, of SIGGRAPH ’96, New Orleans, 379-386, 1996.
  • [13] Hearn D., Baker M. P.: Computer Graphics, C Version, Second Edition. Upper Saddle River, NJ: Prentice Hall Inc, 1997.
  • [14] Hogg R. V., Tanis E.A.: Probability and Statistical Inference Fifth Edition. Upper Saddle River, NJ: Prentice Hall Inc, 1997.
  • [15] Unbescheiden M., Trembilski A.: Cloud Simulation in Virtual Environments. Proc, of IEEE Virtual Reality Annual Int’l Symp., Atlanta, 98-104, 1998.
  • [16] Dobashi Y., Nishita T., Okita T., Animation of Cloud Using Cellular Automation. Proc., Computer Graphics and Imaging ’99, Palm Springs, CA, 251-256, 1999.
  • [17] Latecki L. J., Lakamper R., Eckhardt T.: Shape descriptors for non-rigid shapes with a single closed contour. Proc., IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, CA, 424-429, 2000.
  • [18] Tian B., Azimi-Sadjadi M. R.: Temporal Updating Scheme for Probabalistic Neural Network with Application to Satellite Cloud Classification. IEEE Trans, on Neural Networks, 11(4), 903-920, 2000.
  • [19] Bober M.: MPEG-7 Visual Shape Descriptors. IEEE Trans, on Circuits and Systems for Video Technology, 11(6), 716-719, 2001.
  • [20] Drago F., Myszkowski K.: Validation proposal for global illumination and rendering techniques. Computers & Graphics, 25(3), 511-518, 2001.
  • [21] Duda R. O., Hart P. E., Stork D. G.: Pattern Classification. New York: John Wiley, 2001.
  • [22] Palm C., Lehmann T.: Classification of Color Textures by Gabor Filtering. Machine Graphics & Vision, 11(2/3), 195-219, 2002.
  • [23] Li Z., Drew M. S.: Fundamentals of Multimedia. Englewood Cliffs, NJ: Prentice Hall, 2003.
  • [24] O’Sullivan C., Dingliana J., Giang T., Kaiser M.: Evaluating the Visual Fidelity of Physically Based Animations. ACM Trans, on Graphics, 22(3), 527-536, 2003.
  • [25] Cawley G. C., Talbot N. L. C.: Fast Exact Leave-One-Out Cross-Validation of Sparse Least-Squares Support Vector Machines. Neural Networks, 17(10), 1467-1475, 2004.
  • [26] He J., Tan A., Tan C.: Modified ART 2A Growing Network Capable of Generating a Fixed Number of Nodes. IEEE Trans, on Neural Networks, 15(3), 728-737, 2004.
  • [27] Johnson C.: Top Scientific Visualization Research Problems. Computer Graphics and Applications, 24(4), 13-17, 2004.
  • [28] Newman T. S., Lee W.: On Visualizing Uncertainty in Volumetric Data: Techniques and Their Evaluation. Journal of Visual Languages & Computing, 15(6), 463-491, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0013-0004
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