Three Dimensional Fire Simulation Based on Visual Learning of Image Features
(0) The natural phenomena simulation in computer graphics is commonly achieved by the procedural methods or the physics model. However, these approaches are hard to directly approach the visual experience. On the other hand, the image reconstruction works can provide the outcome based on the real images but lack of interactivity and efficiency by using the image resource. In this paper we propose a novel method that enhances the fire simulation effect using the visual learning of image features and generates continuous animations by integrating with procedural methods. We first obtain the dynamics of fire contour by binarization and edge detection. The information extracted from images is gathered into a set of feature data called fire profile. To generate a long sequence of fire animation from a short clip of fire video, we propose two approaches of visual learning to utilize fire profile to produce continuous animation. One is to use the fire image to setup a color value lookup table which contains the average color value of the fire spatial divisions; the other is to design a state machine for describing fire wiggling movement that can generate effects based on user’s input. The proposed method can raise not only the visual reality but also the interactive ability compared with thee xisting work.
Chungnan Lee Weilun Tai Dajing Zhang-Jian Wenchieh Hsieh
Department of Computer Science and Engineering, National Sun Yat-Sen University
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-9
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）