Title :
Estimating the Material Properties of Fabric from Video
Author :
Bouman, Katherine L. ; Bei Xiao ; Battaglia, Peter ; Freeman, William T.
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
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.
Keywords :
computer vision; fabrics; image texture; regression analysis; video signal processing; area weight; asfabric motion; computer vision; discriminatively trained regression model; fabric material properties estimation; fabric properties prediction; intrinsic material properties; key material properties; offabric videos; publicly available database; scene understanding; stiffness; video textures; weight; wind forces; Computational modeling; Databases; Fabrics; Feature extraction; Force; Material properties;
Conference_Titel :
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICCV.2013.455