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Estimating the Material Properties of Fabric from Video

Bouman, Katherine L. and Xiao, Bei and Battaglia, Peter and Freeman, William T. (2013) Estimating the Material Properties of Fabric from Video. In: 2013 IEEE International Conference on Computer Vision. IEEE , Piscataway, NJ, pp. 1984-1991. ISBN 9781479928408.

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Passively estimating the intrinsic material properties of deformable objects moving in a natural environment is essential for scene understanding. We present a framework to automatically analyze videos of fabrics moving under various unknown wind forces, and recover two key material properties of the fabric: stiffness and area weight. We extend features previously developed to compactly represent static image textures to describe video textures, such as fabric motion. A discriminatively trained regression model is then used to predict the physical properties of fabric from these features. The success of our model is demonstrated on a new, publicly available database of fabric videos with corresponding measured ground truth material properties. We show that our predictions are well correlated with ground truth measurements of stiffness and density for the fabrics. Our contributions include: (a) a database that can be used for training and testing algorithms for passively predicting fabric properties from video, (b) an algorithm for predicting the material properties of fabric from a video, and (c) a perceptual study of humans' ability to estimate the material properties of fabric from videos and images.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Bouman, Katherine L.0000-0003-0077-4367
Freeman, William T.0000-0002-2231-7995
Additional Information:© 2013 IEEE. We would like to thank Lowell ACMTL, particularly Patrick Drane, for their help in collecting data for this project. We would also like to thank Adrian Dalca for all of his helpful discussions and feedback. This work was partially supported by NSF CGV-1111415 and NSF CGV-1212928. Katherine Bouman was partially supported by an NSF Graduate Fellow-ship. Bei Xiao was supported by an MIT Intelligent Initiative Postdoctoral Fellowship. Peter Battaglia was supported by (IARPA) - D10PC20023.
Funding AgencyGrant Number
NSF Graduate Research FellowshipUNSPECIFIED
Massachusetts Institute of Technology (MIT)UNSPECIFIED
Intelligence Advanced Research Projects Activity (IARPA)D10PC20023
Record Number:CaltechAUTHORS:20190405-163101345
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Official Citation:K. L. Bouman, B. Xiao, P. Battaglia and W. T. Freeman, "Estimating the Material Properties of Fabric from Video," 2013 IEEE International Conference on Computer Vision, Sydney, NSW, 2013, pp. 1984-1991. doi: 10.1109/ICCV.2013.455
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94523
Deposited By: George Porter
Deposited On:09 Apr 2019 15:54
Last Modified:16 Nov 2021 17:05

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