GAC Application to Corner Detection Based on Eccentricity

摘要

The geometric algebra GAC offers the same efficiency for calculations with arbitrary conic sections as provided by CGA for spheres. We shall exploit these properties in image processing, particularly in corner detection. Indeed, the point cluster will be approximated by a conic section and, consequently, classified as points with ellipse-like or hyperbola-like neighbourhood. Then, by means of eccentricity, we decide whether the points form a corner.