Abstract:Corner detection is a basic subject in the field of machine vision and computer vision. Corner detection is sometimes called interest point. It not only simplifies the image information data, but also retains the more important feature information of the image to a certain extent. Corner detection includes three-dimensional scene reconstruction, motion estimation, visual tracking, image registration, and image matching. Computer vision has been widely used in the field of computer vision. This study classifies and describes the existing corner detection methods, which are mainly divided into gray-level intensity-based methods and edge contour-based methods. The other types of corner detection methods are also summarized, providing references for image corner detection technology.