Smooth conditional transition paths in dynamical gaussian networks

Authors:
Michal Matuszak;Jacek Miekisz;Tomasz Schreiber
Affiliations:
Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Torun, Poland;Institute of Applied Mathematics and Mechanics, University of Warsaw, Warsaw, Poland;Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Torun, Poland
Venue:
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Year:
2011

Citing 10
Cited 0

Flocks, herds and schools: A distributed behavioral model

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Gaussian influence diagrams

Management Science
Interactive skeleton techniques for enhancing motion dynamics in key frame animation

Communications of the ACM
Behavior-Based Coordination of Large-Scale Robot Formations

ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Gaussian Markov Random Fields: Theory And Applications (Monographs on Statistics and Applied Probability)

Gaussian Markov Random Fields: Theory And Applications (Monographs on Statistics and Applied Probability)
The Scaling and Squaring Method for the Matrix Exponential Revisited

SIAM Journal on Matrix Analysis and Applications
Analyzing the physical correctness of interpolated human motion

Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Learn to Tango with D

Learn to Tango with D
Bayesian Networks: An Introduction

Bayesian Networks: An Introduction
Programming Massively Parallel Processors: A Hands-on Approach

Programming Massively Parallel Processors: A Hands-on Approach

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose an algorithm for determining optimal transition paths between given configurations of systems consisting of many objects. It is based on the Principle of Least Action and variational equations for Freidlin-Wentzell action functionals in Gaussian networks set-up.We use our method to construct a system controlling motion and redeployment between unit's formations. Another application of the algorithm allows a realistic transformation between two sequences of character animations in a virtual environment. The efficiency of the algorithm has been evaluated in a simple sandbox environment implemented with the use of the NVIDIA CUDA technology.