A Global Polynomial Approximation Algorithm for Image Rectification

Christopher O. Ward, University of the West Indies

In this paper we report on the development of a global function approximation algorithm for image rectification and registration. The approximation algorithm fits a linear combination of two-dimensional Chebyshev polynomials to a set of sample points obtained from a test image. The algorithm was successfully used to map pixel positions in unrectified images to object locations on a planar surface. The mapping was used to guide a robot arm to objects placed on the surface, thus demonstrating the practical utility of the algorithm.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.