Fluid sequence editing based on ARAP deformation model

Ling Zou; Jing Li; Qing Zuo; Lin Dai

doi:10.1117/12.2524158

6 May 2019 Fluid sequence editing based on ARAP deformation model

Ling Zou, Jing Li, Qing Zuo, Lin Dai

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106902 (2019) https://doi.org/10.1117/12.2524158
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Fluid phenomena such as smoke, fire, and waterfall can be easily acquired via a video recorder in the nature. However, only very few researches are about how to edit and reuse the fluid sequences. In this paper, we develop a novel method to edit the fluid sequence spatially and temporally based on grid deformation. We use an as-rigid-as-possible (ARAP) deformation model to edit the fluid sequences. ARAP is like energy model to deform a coarse regular grid in real-time editing stage. Our ARAP model penalizes three parts of energy to make the deformation as rigid as possible. This model is very easy to solve, and users can adjust the weighting coefficients for the three energies to obtain various results. In the rasterization stage, one can use linear interpolation to export the dense texture coordinate field for the grid. And finally we integrate our deformation method with some other techniques to achieve different types of editing effects.

Citation Download Citation

Ling Zou, Jing Li, Qing Zuo, and Lin Dai "Fluid sequence editing based on ARAP deformation model", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106902 (6 May 2019); https://doi.org/10.1117/12.2524158

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