Progressive Tearing and Cutting of Soft-bodies in High-performance Virtual Reality
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present an algorithm that allows a user within a virtual environment to perform real-time unconstrained cuts or consecutive tears, i.e., progressive, continuous fractures on a deformable rigged and soft-body mesh model in high-performance 10ms. In order to recreate realistic results for different physically-principled materials such as sponges, hard or soft tissues, we incorporate a novel soft-body deformation, via a particle system layered on-top of a linear-blend skinning model. Our framework allows the simulation of realistic, surgical-grade cuts and continuous tears, especially valuable in the context of medical VR training. In order to achieve high performance in VR, our algorithms are based on Euclidean geometric predicates on the rigged mesh, without requiring any specific model pre-processing. The contribution of this work lies on the fact that current frameworks supporting similar kinds of model tearing, either do not operate in high-performance real-time or only apply to predefined tears. The framework presented allows the user to freely cut or tear a 3D mesh model in a consecutive way, under 10ms, while preserving its soft-body behaviour and/or allowing further animation.
Description
CCS Concepts: Computing methodologies -> Mesh geometry models; Virtual reality; Mathematics of computing -> Mesh generation
@inproceedings{10.2312:egve.20221275,
booktitle = {ICAT-EGVE 2022 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments},
editor = {Hideaki Uchiyama and Jean-Marie Normand},
title = {{Progressive Tearing and Cutting of Soft-bodies in High-performance Virtual Reality}},
author = {Kamarianakis, Manos and Protopsaltis, Antonis and Angelis, Dimitris and Tamiolakis, Michail and Papagiannakis, George},
year = {2022},
publisher = {The Eurographics Association},
ISSN = {1727-530X},
ISBN = {978-3-03868-179-3},
DOI = {10.2312/egve.20221275}
}