loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Avirup Mandal 1 ; Parag Chaudhuri 2 and Subhasis Chaudhuri 1

Affiliations: 1 Department of Electrical Engineering, IIT Bombay, Powai, Mumbai, India ; 2 Department of Computer Science and Engineering, IIT Bombay, Powai, Mumbai, India

Keyword(s): Virtual Sculpting, Haptic Feedback, Wetting, Deformation.

Abstract: We present a real-time, physics-based framework to simulate porous, deformable materials and interactive tools with haptic feedback that can reshape them. In order to allow the material to be moulded nonhomogeneously, we propose an algorithm to change the material properties of the object depending on its water content. To enable stable visual and haptic feedback at interactive rates, we implement a multi-resolution, multi-timescale solution. We test our model for physical consistency, accuracy, interactivity and appeal through a user study and quantitative performance evaluation.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.172.68

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mandal, A.; Chaudhuri, P. and Chaudhuri, S. (2023). Real-Time Physics-Based Mesh Deformation with Haptic Feedback and Material Anisotropy. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - GRAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 153-161. DOI: 10.5220/0011611800003417

@conference{grapp23,
author={Avirup Mandal. and Parag Chaudhuri. and Subhasis Chaudhuri.},
title={Real-Time Physics-Based Mesh Deformation with Haptic Feedback and Material Anisotropy},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - GRAPP},
year={2023},
pages={153-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011611800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - GRAPP
TI - Real-Time Physics-Based Mesh Deformation with Haptic Feedback and Material Anisotropy
SN - 978-989-758-634-7
IS - 2184-4321
AU - Mandal, A.
AU - Chaudhuri, P.
AU - Chaudhuri, S.
PY - 2023
SP - 153
EP - 161
DO - 10.5220/0011611800003417
PB - SciTePress