Recursive Texture Orientation Estimation Based on Space Transformation and Hypersurface Reconstruction

@article{Doghraji2018RecursiveTO,
  title={Recursive Texture Orientation Estimation Based on Space Transformation and Hypersurface Reconstruction},
  author={Salma Doghraji and Marc Donias and Yannick Berthoumieu},
  journal={IEEE Transactions on Image Processing},
  year={2018},
  volume={27},
  pages={4367-4381}
}
The most common scheme for estimating the orientation field of space-varying directional textures is based on a local nonlinear spatial averaging of the gradient field. This leads to locally biased orientations, especially in regions of nonlinearly distributed convergence, asymmetrically distributed curvature, or geometry superposition. In this paper, we propose an orientation estimation framework that is invariant toward the local geometry. Instead of applying the spatial averaging in the… 

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