An improved algorithm for corner detection
Chen Zhang, Mengyang Zhao, Liang Yuan · 2011
Since detection result is not good enough when detecting real image using line search mechanism corner detection algorithm, a feature selection criterion based on priority and adaptive non-maximal suppression (ANMS) is proposed in this paper to control the number and density of features in the image. Experimental results show that the algorithm can detect corner more reasonable, and can be used in image mosaics well.