Computer Vision with OpenCV 3 and Qt5

The BRISK class

The BRISK class can be used to detect features in an image using the BRISK (Binary Robust Invariant Scalable Keypoints) algorithm. Make sure to refer to the following paper for details on how it works and underlying implementation in OpenCV. The usage though, is quite similar to what we saw in AGAST and KAZE, in which the class is created using the create function, then the parameters are set (if we will not for the defaults), and, finally, the detect function is called. Here's a simple example:

The following is the source code for such a user interface. The widget names are easy to guess, and each one corresponds to one of ...