Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

@article{Mottaghi2016NewtonianIU,
  title={Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images},
  author={Roozbeh Mottaghi and Hessam Bagherinezhad and Mohammad Rastegari and Ali Farhadi},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={3521-3529}
}
  • Roozbeh Mottaghi, Hessam Bagherinezhad, +1 author Ali Farhadi
  • Published 2016
  • Computer Science
  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • In this paper, we study the challenging problem of predicting the dynamics of objects in static images. Given a query object in an image, our goal is to provide a physical understanding of the object in terms of the forces acting upon it and its long term motion as response to those forces. Direct and explicit estimation of the forces and the motion of objects from a single image is extremely challenging. We define intermediate physical abstractions called Newtonian scenarios and introduce… CONTINUE READING

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