%0 Journal Article
%T GPU-based Fast Motion Synthesis of Large Crowds Using Adaptive Multi-Joint Models
%J Symmetry | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/sym11030422
%X This paper introduces a GPU (graphics processing unit)-based fast motion synthesis algorithm for a large crowd. The main parts of the algorithms were selecting the most appropriate joint model given adaptive screen-space occupancy of each character and synthesizing motions for the joint model with one or two input motion capture data. The different joint models had a character range from fine-detailed and fully-articulated ones to the most simplified ones. The motion synthesizer, running on a GPU, performed a series of motion blending for each joint of the characters in parallel. For better performance of the motion synthesizer, the GPU maintained a novel cache structure for given speed parameters. Using the high computation power of GPUs, the motion synthesizer could generate arbitrary speeds and orientations for the motions of a vast number of characters. Experiments showed that the proposed algorithm could animate more than 5000 characters in real-time on modest graphics acceleration cards. View Full-Tex
%U https://www.mdpi.com/2073-8994/11/3/422