This sandbox is in the article namespace. Either move this page into your userspace, or remove the {{User sandbox}} template.
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 L^2 norm (or in total least squares sense), wherein 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
References
- ^ @inproceedings{bigun1988pattern, title={Pattern recognition by detection of local symmetries}, author={Bigun, Josef}, booktitle={Proceedings of Pattern Recognition in Practice III}, year={1988} }