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Fluid sequence editing based on ARAP deformation model
Author(s): Ling Zou; Jing Li; Qing Zuo; Lin Dai
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Paper 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.

Paper Details

Date Published: 6 May 2019
PDF: 7 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106902 (6 May 2019); doi: 10.1117/12.2524158
Show Author Affiliations
Ling Zou, Beijing Film Academy (China)
Jing Li, Beijing Film Academy (China)
Qing Zuo, China Digital Video Ltd. (China)
Lin Dai, China Digital Video Ltd. (China)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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