Cones: a new approach towards corner detection

This paper presents a new approach to detect corners and determine their orientations. This is done through a data structure similar to pyramids but of circular levels. Thus, we refer to it as the cone. The operation starts at the top level where only one node exists. If the node is inhomogeneous, it will be split into two nodes forming the next lower level of the cone. Splitting continues until all nodes become homogeneous. At the base and according to a threshold, similar nodes are grouped together to shape the orientation of the corner.