Research on Corner Detection Algorithms in Machine Vision
Corner detection is a key step for motion detection,image matching,video tracking,3D reconstruction,and target rec-ognition.The precision of corner detection directly influences on experimental results.In order to better comprehend the development status of corner detection technologies,the corner detection methods and associated enhancements are summarized and analyzed based on three types of existing corner detection algorithms.The typical detection algorithms of features from the accelerated segment test(FAST),small unit-value segment assimilating nucleus(SUSAN),scale-invariant feature transform(SIFT),and Shi-Tomas are chosen to conduct the experimental comparison,and the results of the experiment are provided.Different practical applications have different requirements for corner detection,and various corner detection algorithms can also be combined with each other.Through a summary and analysis of the existing corner detection technologies,this paper provides a reference for the selection and development of corner detection technologies in practical applications.
万方数据
维普
