Performance comparison of image keypoint detection, description, and matching methods

In this paper we investigate the methods for image keypoint detection, description, and matching. We compare four methods, including SIFT, SURF, ORB, and BRISK. The datasets used for evaluation cover different changes and transformations in imaging conditions, such as zoom, rotation, blur, viewpoint, light, and JPEG compression. We also compare the computational speed of these four methods.