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. © 2006 IEEE.
Cite
CITATION STYLE
Sheikh, Y., Haering, N., & Shah, M. (2006). Shape from dynamic texture for planes. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2, pp. 2285–2292). https://doi.org/10.1109/CVPR.2006.274
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