structure tensor造句
例句与造句
- Analogously, the Cartesian structure tensor is a representation of a translation too.
- There are other representations of edge orientation, such as the structure tensor, which are averageable.
- In its original formulation, presented by Perona and matrix ( or tensor ) value ( see structure tensor ).
- Intuitively, the eigenvalues of the structure tensor matrix associated with a given pixel describe the gradient strength in a neighborhood of that pixel.
- For every pixel ( i, j ) in the image, the structure tensor J is a symmetric and positive semi-definite matrix.
- It's difficult to find structure tensor in a sentence. 用structure tensor造句挺难的
- The eigenvalues of the 2D discrete structure tensor matrix at each image pixel and flagging a pixel as a corner when the eigenvalues of its structure tensor are sufficiently large.
- The eigenvalues of the 2D discrete structure tensor matrix at each image pixel and flagging a pixel as a corner when the eigenvalues of its structure tensor are sufficiently large.
- As such, a structure tensor matrix with large eigenvalues corresponds to an image neighborhood with large gradients in orthogonal directions-" i . e ., " a corner.
- The structure tensor obtained is convolved with a Gaussian kernel G to improve the accuracy of the orientation estimate with \ sigma being set to high values to account for the unknown noise levels.
- The computation of the second moment matrix ( sometimes also referred to as the structure tensor ) A in the Harris operator, requires the computation of image derivatives, and ( ii ) an " integration scale " for accumulating the non-linear operations on derivative operators into an integrated image descriptor.
- Furthermore, it was shown that all these differential scale-space interest point detectors defined from the Hessian matrix allow for the detection of a larger number of interest points and better matching performance compared to the Harris and Shi-and-Tomasi operators defined from the structure tensor ( second-moment matrix ).
- If the gradient \ nabla I = ( I _ x, I _ y ) of I is viewed as a 1? ( single-row ) matrix, the matrix S _ 0 can be written as the matrix product ( \ nabla I ) ^ T ( \ nabla I ), where ( \ nabla I ) ^ T denotes the 2? ( single-column ) transpose of the gradient . ( Note however that the structure tensor S _ w ( p ) cannot be factored in this way .)