The dynamic textures for water synthesis based on statistical modeling

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. © Springer-Verlag Berlin Heidelberg 2007.