caa a22 4500 605541086 CHVBK 20210128100914.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00371-015-1122-y doi (NATIONALLICENCE)springer-10.1007/s00371-015-1122-y Incompressibility-preserving deformation for fluid flows using vector potentials [Elektronische Daten] [Syuhei Sato, Yoshinori Dobashi, Yonghao Yue, Kei Iwasaki, Tomoyuki Nishita] Physically based fluid simulations usually require expensive computation cost for creating realistic animations. We present a technique that allows the user to create various fluid animations from an input fluid animation sequence, without the need for repeatedly performing simulations. Our system allows the user to deform the flow field in order to edit the overall fluid behavior. In order to maintain plausible physical behavior, we ensure the incompressibility to guarantee the mass conservation. We use a vector potential for representing the flow fields to realize such incompressibility-preserving deformations. Our method first computes (time-varying) vector potentials from the input velocity field sequence. Then, the user deforms the vector potential, and the system computes the deformed velocity field by taking the curl operator on the vector potential. The incompressibility is thus obtained by construction. We show various examples to demonstrate the usefulness of our method. Springer-Verlag Berlin Heidelberg, 2015 Flow deformation nationallicence Incompressibility nationallicence Vector potential nationallicence Sato Syuhei UEI Research, Tokyo, Japan aut Dobashi Yoshinori UEI Research, JST CREST, Hokkaido University, Sapporo, Japan aut Yue Yonghao Columbia University, New York, NY, USA aut Iwasaki Kei UEI Research, Wakayama University, Wakayama, Japan aut Nishita Tomoyuki UEI Research, Hiroshima Shudo University, Tokyo, Japan aut The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 959-965 0178-2789 31:6-8<959 2015 31 371 https://doi.org/10.1007/s00371-015-1122-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-015-1122-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sato Syuhei UEI Research, Tokyo, Japan aut NATIONALLICENCE 700 1- Dobashi Yoshinori UEI Research, JST CREST, Hokkaido University, Sapporo, Japan aut NATIONALLICENCE 700 1- Yue Yonghao Columbia University, New York, NY, USA aut NATIONALLICENCE 700 1- Iwasaki Kei UEI Research, Wakayama University, Wakayama, Japan aut NATIONALLICENCE 700 1- Nishita Tomoyuki UEI Research, Hiroshima Shudo University, Tokyo, Japan aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 959-965 0178-2789 31:6-8<959 2015 31 371