Keypoint Extraction

Extract image keypoints using most common algorithms.

The current directory contains functions allowing to extract keypoints also called "feature points", "corners", "interest points", etc. The following algorithm are provided :
- Harris
- SUSAN
- Harris-Laplace
- Laplacian of Gaussian (LoG)
- Gilles
The input image must be a gray level image. The output is a matrix of dimension Nx2 or Nx3 with N the number of keypoints extracted. The first column gives the row poisition of the keypoints and the second column gives the column position of the keypoints. The third column gives the feature scale of the keypoints. This scale corresponds to the radius of the local neighborhood to consider. Note that the SUSAN algorithm is a contribution of Joaquim Luis.

Run the test function to see an example.

The picture "door" was taken by Aleksandra Radonic'.
The picture "sunflower" was taken by Candy Torres.
The picture "patrol" was taken by Markus Schöpke.