Fast corner detection in grey-level images

Abstract

Corners in grey-level images are detected by a real-time parameter-free algorithm. Only few locally parallel integer operations on 3 × 3 pixel matrices and on six-membered strings of edge elements are required. Within a given direction quantization, local curvature is approximated by finite differences. The extrema of curvature are classified and subsets are selected as corners.