caa a22 4500 605540446 CHVBK 20210128100911.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00371-014-0927-4 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0927-4 Animation of trees in wind using sparse motion capture data [Elektronische Daten] [Jie Long, Bryce Porter, Michael Jones] We present a novel approach to animate an entire tree from the motion of a few branches. Animating medium sized trees in wind presents an arduous situation because it is difficult to create the motion of flexible branches in turbulent wind flows. The animation of trees in wind is important in biology and ecology where understanding how trees move can inform us about the cultivation of trees and forests designed to withstand strong winds. Animation of trees in wind is also useful in the production of films and games. We use passive optical motion capture to record the motion of retro-reflective markers placed on some of the tree branch tips. These motion data are processed to remove noise, create motion traces, and add missing data. Given the processed motion data, we solve for wind velocity in a discrete formulation of aerodynamic drag and tree branch dynamics. This sparse collection of wind velocity samples is interpolated over the volume of the crown and enriched with a turbulence model to create a wind field that drives the animation of an entire tree crown. The wind field can also be used to drive the animation of other similar trees. In this process, 300 KB of data recorded from 10 s of tree motion can be processed and replayed in 16 s of computation time, not including rendering. Springer-Verlag Berlin Heidelberg, 2014 Motion capture nationallicence Animation nationallicence Natural phenomena nationallicence Long Jie Department of Computer Science, Brigham Young University, 84604, Provo, UT, USA aut Porter Bryce Department of Computer Science, Brigham Young University, 84604, Provo, UT, USA aut Jones Michael Department of Computer Science, Brigham Young University, 84604, Provo, UT, USA aut The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 325-339 0178-2789 31:3<325 2015 31 371 https://doi.org/10.1007/s00371-014-0927-4 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/s00371-014-0927-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Long Jie Department of Computer Science, Brigham Young University, 84604, Provo, UT, USA aut NATIONALLICENCE 700 1- Porter Bryce Department of Computer Science, Brigham Young University, 84604, Provo, UT, USA aut NATIONALLICENCE 700 1- Jones Michael Department of Computer Science, Brigham Young University, 84604, Provo, UT, USA aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 325-339 0178-2789 31:3<325 2015 31 371