@InProceedings{CetinaslanChav:2019:EnEmGa,
author = "Cetinaslan, Ozan and Chaves, Rafael Oliveira",
affiliation = "Instituto de Telecomunica{\c{c}}{\~o}es \& Faculdade de
Ci{\^e}ncias, Universidade do Porto and {Federal University of
Par{\'a} \& State University of Par{\'a}}",
title = "Energy Embedded Gauss-Seidel Iteration for Soft Body Simulations",
booktitle = "Proceedings...",
year = "2019",
editor = "Oliveira, Luciano Rebou{\c{c}}as de and Sarder, Pinaki and Lage,
Marcos and Sadlo, Filip",
organization = "Conference on Graphics, Patterns and Images, 32. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Computer Graphics, Animation, Physical Simulation.",
abstract = "In this paper, we present our novel energy embedded Gauss-Seidel
iteration to simulate soft objects. Our algorithm is inspired by
the equality of the kinetic and potential energy changes, and
employs the extended Position-Based Dynamics algorithm (XPBD) as
the base algorithm. The proposed method does not aim to conserve
the total energy of the system, only alters the position
constraints based on the kinetic and potential energy balances
within the Gauss-Seidel process of the XPBD algorithm. Our
algorithm provides an implicit solution for relatively better
visual results during the simulation of soft bodies. Since we
apply our solution within the Gauss-Seidel iteration, it is not
dependent to both simulation step-size and integration methods. We
demonstrate the benefits of our method with many position
constraints such as geometric deformation constraints, strain
based constraints and continuous materials.",
conference-location = "Rio de Janeiro, RJ, Brazil",
conference-year = "28-31 Oct. 2019",
doi = "10.1109/SIBGRAPI.2019.00028",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2019.00028",
language = "en",
ibi = "8JMKD3MGPEW34M/3U2T2KH",
url = "http://urlib.net/ibi/8JMKD3MGPEW34M/3U2T2KH",
targetfile = "EnergyEmbeddedGaussSeidelIterationForSoftBodySimulations.pdf",
urlaccessdate = "2024, Apr. 27"
}