@inproceedings{89e83b8d754f42a386116e8564ccf327,
title = "Physically-based linear blend skinning",
abstract = "This paper proposes an example-based linear blend skinning system that incorporates the torques applied to the skeletal joints. For this purpose, deformation gradient predictors are trained using a set of examples with the minimum torque and another set with the maximum torque. The run-time algorithm takes an animated skeleton and joint torques as input. It computes the deformation gradients from the predictors. They are then combined with torque-based blending functions. The functions are trained at the preprocessing stage using a set of skeleton-mesh-torque examples with the aid of statistical analysis. The experimental results show that the proposed system runs at real-time and produces quite realistic skinned meshes based on the input torques.",
keywords = "Computer animation, Linear blend skinning, Skeletal joints, Torques",
author = "Youngbeom Kim and Junghyun Han",
note = "Funding Information: This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No.R0115-16-1011). J. Han is the corresponding author. Publisher Copyright: {\textcopyright} 2017. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 11th International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2017 and International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2017 ; Conference date: 21-07-2017 Through 23-07-2017",
year = "2017",
language = "English",
series = "Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017",
publisher = "IADIS",
pages = "349--350",
editor = "Luis Rodrigues and Yingcai Xiao and Abraham, {Ajith P.}",
booktitle = "Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017",
}