Correspondence using distinct points based on image invariants.
Kevin Walker, Cootes Tf, Chris Taylor, A.F. Clark · 1997
We present a method, based on the idea of distinctive points, for locating point correspondences between two images of similar objects independently of scale, orientation and position. Distinctive points are those which have a low probability of being mistaken with other points, and therefore are more likely to be correctly located in a similar image. The local image structure at each image point is described by vectors of Cartesian differential invariants computed at a range of scales. Distinctive points lie in low density regions of the distribution of all vectors of invariants found in an image. The vectors of invariants of distinct points are used to locate similar points in a second image. Results of applying this technique to find correspondences between images of faces are shown. 1 Introduction A common problem in computer vision is that of establishing correspondences between images of similar objects. For images of objects with fixed 3D geometry 5 correspondences a...