Title
Realistic Collision Avoidance Of Upper Limbs Based On Neuroscience Models
Abstract
When articulated figures interact in a 3D environment, collisions are highly likely and must often be avoided. We present a method automatically producing realistic collision-free animation of the upper arms. Based on the latest models of collision avoidance provided by neuroscience, our method allows realistic interpolation of keyframes at interactive speed. In order to validate our scheme we compared computer generated motions with motions performed by a sample of ten humans. These motions were defined by start and final postures and by an obstacle which had to be passed. In each case the generated positions are the same as those chosen by 30% of real humans, we therefor consider our method provides realistic motions. Moreover, the collision-free paths are automatically generated in a few seconds. Hence, our method can be very beneficial to animators by reducing the level of detail needed to define motions of articulated figures. It can also be used for the automatic generation of realistic animations for virtual reality applications.
Year
DOI
Venue
2000
10.1111/1467-8659.00414
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
level of detail,virtual reality
Obstacle,Computer vision,Neuroscience,Virtual reality,Computer graphics (images),Computer science,Level of detail,Interpolation,Collision,Artificial intelligence,Animation,Upper Arms
Journal
Volume
Issue
ISSN
19
3
0167-7055
Citations 
PageRank 
References 
3
0.43
13
Authors
1
Name
Order
Citations
PageRank
Jean-christophe Nebel123819.58