MATLAB File Help: cv.cornerEigenValsAndVecs Index
cv.cornerEigenValsAndVecs

Calculates eigenvalues and eigenvectors of image blocks for corner detection

dst = cv.cornerEigenValsAndVecs(src)
dst = cv.cornerEigenValsAndVecs(src, 'OptionName', optionValue, ...)

Input

Output

Options

For every pixel p, the function cv.cornerEigenValsAndVecs considers a blockSize x blockSize neigborhood S(p). It calculates the covariation matrix of derivatives over the neighborhood as:

M = [
    \sum_{S(p)}(dI/dx)^2        \sum_{S(p)}(dI/dx * dI/dy)
    \sum_{S(p)}(dI/dx * dI/dy)  \sum_{S(p)}(dI/dy)^2
]

where the derivatives are computed using the Sobel operator.

After that, it finds eigenvectors and eigenvalues of M and stores them in the destination image as (lambda_1, lambda_2, x_1, y_1, x_2, y_2) where:

The output of the function can be used for robust edge or corner detection.

See also