Local features and their descriptors are the building blocks of many computer vision algorithms. Their applications include image registration, object detection and classification, tracking, and motion estimation. Using local features enables these algorithms to better handle scale changes, rotation, and occlusion. The Computer Vision System Toolbox™ provides the FAST, Harris, and Shi & Tomasi corner detectors, and the SURF and MSER blob detectors. The toolbox includes the SURF, FREAK, and HOG descriptors. The detectors and the descriptors can be mixed and matched depending on the requirements of your application.