six-keypointExtraction-ways.rar_harris laplace_harris log_harris

---=== EDIT CONTOUR ===--- AUTHOR Vincent Garcia DESCRIPTION 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 Sch�pke. LEGAL 1. The enclosed function can be freely reused under a Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/2.0) : You are free: * to Share � to copy, distribute and transmit the work * to Remix � to adapt the work Under the following conditions: * Attribution. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). * Noncommercial. You may not use this work for commercial purposes. * Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one. 2. The pictures provided were choosen on flickr.com. These pictures can be freely reused under a Creative Commons License. The authors are Aleksandra Radonic', Candy Torres, and Markus Sch�pke.