Abstract
Abstract. The synthesis for dynamic flowing water is of relatively high practical value in design of virtual reality, computer games, digital movies and scientific computing etc. On one hand, the physical model cannot help people to produce the photorealistic and easy edited flowing scene; on the other hand, digital products can be used to show the flowing scene in the world easily. This paper presents a novel algorithm for synthesizing dynamic water scene based on a sample video. To obtain video textons, we analyze the sample video automatically using dynamic textures model. Then we utilize linear dynamic system (LDS) to represent the characteristic of each texton. By further hard constrains we synthesize a new video for dynamic water flow which is prolonged and non-fuzzy in vision. We provide test examples to demonstrate the effective and efficiency of our proposed method.
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References
Ying-qing Xu, J.: The imitation for flowing water and waves based on physical model. Chinese Journal of Computer (supplement), 153–160 (1996)
A. Schodl, R. Szeliski, D.H., Salesin, Essa, C.I.: Video Textures. In: Proceeding of SIGGRAPH’00, New Orleans, pp. 489–498 (2000)
Darwyn, R., Peachey, J.: Modeling Waves and Surf. Computer Graphics 20(4), 65–74 (1986)
Fournier, A., Reeves, J.W.T.: A Simple Model of Ocean Waves. Computer Graphics 20(4), 75–84 (1986)
Foster, N., Fedkiw, C.R.: Practical Animation of Liquids. In: Proceedings of SIGGRAPH, pp. 23–30. ACM Press, New York (2001)
Watterberg, P.A., Mastin, G.A., Mareda, C.J.F.: Fournier synthesis of ocean scenes. IEE Computer Graphics and Applications 7(3), 16–23 (1987)
Bar-Joseph, D.Z.: Statistical Learning of Multi-dimensional Textures, Master’s thesis, The Hebrew University of Jerusalem (June 1999)
Wei, L.-Y., Levoy, C.M.: Fast Texture Synthesis using Tree-structured Vector Quantization. In: Proceedings of SIGGRAPH’2000, pp. 479–488 (August 2000)
Soatto, S., Doretto, G.: Wu, C.Y.N.: Dynamic Textures. In: Proceedings of ICCV’01, Vancouver, BC, Canada, pp. 439–446 (2001)
Stam, C.J.: Stable Fluids. In: Proceedings of SIGGRAPH, pp. 121–128. ACM Press, New York (1999)
Li, Y., Wang, T.: Shum, C.H.-Y.: Motion Texture: A two?level statistical model for character motion synthesis. In: SIGGRAPH’2002 Conference Proceedings, San Antonio, Texas, pp. 465–472 (2002)
Stam, C.J.: Real-Time Fluid Dynamics for Games. In: Proceedings of the Game Developer Conference (2003)
Precept, J., Beck, J.: Effect pf orientation and of shape similarity on perceptual grouping, Perceptual psychophysics, pp. 300–302 (1966)
Djaferie, T.E., Schick, M.I.C.: System Theory: Modeling, Analysis and Control. Springer, Heidelberg (1999)
Bui, T.D., Chen, G.J.: Translation invariant de-noising using multiwavelets. IEEE Transactions on Signal Processing 46(12), 3414–3420 (1998)
Tessendorf, C.J.: Simulating Ocean Waves, SIGGRAPH ’99 Course Notes & SIGGRAPH’2000: Course Notes 25: Simulating Nature: From Theory to Practice, pp. 3.1–3.18 (2000)
Brand, M.C., Hertzmann, A.: Style machines. In: Proceedings of SIGGRAPH’00, New Orleans, pp. 183–192 (2000)
Doretto, G., Soatto, J.S.: Dynamic Shape and Appearance Models. IEEE Transaction on Pattern Analysis and Machine Intelligence 28(12), 2006–2019 (2006)
Bhat, K.S., Seitz, S.M., Hodgins, J.K., Khosla, P.K., Flow-based, J.: Video Synthesis and Editing. ACM Transactions on Graphics 23(3), 360–363 (2004)
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Zhang, Q., Whangbo, T. (2007). The Dynamic Textures for Water Synthesis Based on Statistical Modeling. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_4
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DOI: https://doi.org/10.1007/978-3-540-73011-8_4
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