OBJECT RECOGNITION USING ANGLES IN THE PROJECTIVE PLANE

ABSTRACT In this paper, we propose a recognition technique for objects which are represented as closed contours. Our algorithm relies on the angular similarity between the contours and exploits the properties of the Fourier Transform, plane projective geometry and the wavelet transform. An important contribution of the proposed method is that it can recognize objects acquired from any viewing direction (such as oblique) and even when the objects are partially occluded, without finding any conjugate points. The experimental results on an in-house developed geographic database, and the Brown University object database show robust recognition performance