Python practices about computer vision
Perform corner detection on images. Implement the Harris detector and the Hessian detector and compare their output.
Use SIFT to get features of image and use K-Means to cluster features and classify images by content
Use mean shift algorithm to compute the segmentation of an image. Compare the result with the N-Cut algorithm