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Generalized Structure Tensor is an extension of the Cartesian Structure Tensor to Curvilinear coordinates. It finds the direction along which an image can undergo a translation with minimal error, measured in L2 norm amounting to total least squares sense, where the translation is along the curvilinear coordinates (instead of Cartesian). Among the curvilinear coordinates, locally orthogonal coordinates, are best studied. [1]
The structure tensor is often used in image processing and computer vision.
See also
- Hough Transform
- Tensor
- Directional derivative
- Gaussian
- Corner detection
- Edge detection
- Lucas-Kanade method
- Affine shape adaptation
References
- ^ @inproceedings{bigun1988pattern, title="Pattern recognition by detection of local symmetries", author={Bigun, Josef}, booktitle={Proceedings of Pattern Recognition in Practice III}, year={1988} }