Corner detector for 3D object recognition

This paper presents an effective corner detector based on perceptual organization and a curve tracking scheme. The detector first finds 2-D corners among the curve partitioning points. It then locates 3-D corners by detecting the terminations of tracked curves intersecting at 2-D corners. It then assigns an attribute value according to its perceptual structure to each detected corner. The corner detector is a very important image analysis component in both 2-D and 3- D vision systems. Experimental results demonstrate its effectiveness and robustness.