Local Features

Local features are specific patterns or details identified within small regions of an image, such as edges, corners, or textures. They serve as distinctive markers that help in recognizing objects, matching images, or analyzing textures. Unlike global features, which describe the entire image, local features focus on key points that stand out in small areas, making them effective for tasks like image stitching, object recognition, and tracking, especially when images are partially obscured or altered. Common examples include SIFT, SURF, and ORB features used in computer vision applications.