Shape from Dynamic Texture for Planes

Abstract

We propose a method for recovering the affine geometry of a dynamically textured plane from a video sequence taken by an uncalibrated, fixed, perspective camera. Some instances of approximately planar surfaces that are coated with a dynamic texture include large water bodies, (such as lakes and oceans), heavy traffic, dense crowds, escalators, and foliage in the wind. Under the assumption of translational dynamic textures, we propose a direct algorithm for the estimation of the inter-frame elation that does not require explicit identification of texels or movetons. In addition, we develop a general algorithm for recovering the affine geometry of homogeneous dynamic textures by identifying a constraint on the expected values of motion magnitudes. We report experimental results on several real videos of dynamic texture found in the world.

Cite

Text

Sheikh et al. "Shape from Dynamic Texture for Planes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.274

Markdown

[Sheikh et al. "Shape from Dynamic Texture for Planes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/sheikh2006cvpr-shape/) doi:10.1109/CVPR.2006.274

BibTeX

@inproceedings{sheikh2006cvpr-shape,
  title     = {{Shape from Dynamic Texture for Planes}},
  author    = {Sheikh, Yaser and Haering, Niels C. and Shah, Mubarak},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {2285-2292},
  doi       = {10.1109/CVPR.2006.274},
  url       = {https://mlanthology.org/cvpr/2006/sheikh2006cvpr-shape/}
}