HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Learning to Measure the Static Friction Coefficient in Cloth Contact

Abdullah-Haroon Rasheed 1, 2 Victor Romero 1 Florence Bertails-Descoubes 1 Stefanie Wuhrer 2 Jean-Sébastien Franco 2 Arnaud Lazarus 3
1 ELAN - ModELisation de l'apparence des phénomènes Non-linéaires
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
2 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : Measuring friction coefficients between cloth and an external body is a longstanding issue in mechanical engineering, never yet addressed with a pure vision-based system. The latter offers the prospect of simpler, less invasive friction measurement protocols compared to traditional ones,and can vastly benefit from recent deep learning advances. Such a novel measurement strategy however proves challenging, as no large labelled dataset for cloth contact exists, and creating one would require thousands of physics work-bench measurements with broad coverage of cloth-material pairs. Using synthetic data instead is only possible assuming the availability of a soft-body mechanical simulator with true-to-life friction physics accuracy, yet to be verified. We propose a first vision-based measurement network forfriction between cloth and a substrate, using a simple and repeatable video acquisition protocol. We train our network on purely synthetic data generated by a state-of-the-art frictional contact simulator, which we carefully calibrate and validate against real experiments under controlled conditions. We show promising results on a large set of contact pairs between real cloth samples and various kinds of substrates, with 93.6% of all measurements predicted within 0.1 range of standard physics bench measurements.
Complete list of metadata

Contributor : Abdullah Rasheed Connect in order to contact the contributor
Submitted on : Monday, March 23, 2020 - 3:19:30 PM
Last modification on : Monday, April 25, 2022 - 8:18:02 AM



Abdullah-Haroon Rasheed, Victor Romero, Florence Bertails-Descoubes, Stefanie Wuhrer, Jean-Sébastien Franco, et al.. Learning to Measure the Static Friction Coefficient in Cloth Contact. CVPR 2020 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle, United States. pp.9909-9918, ⟨10.1109/CVPR42600.2020.00993⟩. ⟨hal-02511646⟩



Record views


Files downloads