TY - GEN
T1 - Procedural animation generation technology of virtual fish flock
AU - Pilco, Andrea
AU - Luo, Xun
AU - Newball, Andres Adolfo Navarro
AU - Zuniga, Claudia
AU - Lozano-Garzon, Carlos
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Flocking refers to the collective and coherent motion of a large group of animals. In this paper, a procedural animation generation technology of virtual fish flock is described. In our work, each animated character, symbolized by fish, is implemented as an independent actor that navigates according to its local perception of the environment. Motion of the actor obeys the laws of simulated physics, and a set of behaviors are programmed into it by the animator. Flocking behaviors of separation, alignment and cohesion are be recreated. As such, there is no need to script the motions of each individual fish. These kinds of systems are commonly employed when constructing a large-scale battle or a herd of animals. With this work, we are able to simulate flocking behavior using autonomous agents with simple movement rules.
AB - Flocking refers to the collective and coherent motion of a large group of animals. In this paper, a procedural animation generation technology of virtual fish flock is described. In our work, each animated character, symbolized by fish, is implemented as an independent actor that navigates according to its local perception of the environment. Motion of the actor obeys the laws of simulated physics, and a set of behaviors are programmed into it by the animator. Flocking behaviors of separation, alignment and cohesion are be recreated. As such, there is no need to script the motions of each individual fish. These kinds of systems are commonly employed when constructing a large-scale battle or a herd of animals. With this work, we are able to simulate flocking behavior using autonomous agents with simple movement rules.
KW - Artificial Intelligence
KW - Flocking Behavior
KW - Procedural Animation
UR - http://www.scopus.com/inward/record.url?scp=85094320699&partnerID=8YFLogxK
U2 - 10.1109/ICVRV47840.2019.00055
DO - 10.1109/ICVRV47840.2019.00055
M3 - Conference contribution
AN - SCOPUS:85094320699
T3 - Proceedings - 2019 International Conference on Virtual Reality and Visualization, ICVRV 2019
SP - 233
EP - 237
BT - Proceedings - 2019 International Conference on Virtual Reality and Visualization, ICVRV 2019
A2 - Wang, Dangxiao
A2 - Cadavid, Andres Navarro
A2 - Liu, Yue
A2 - Xu, Mingliang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Virtual Reality and Visualization, ICVRV 2019
Y2 - 21 November 2019 through 22 November 2019
ER -