Proposition and comparison of catadioptric homography estimation methods
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
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Homography estimation is an important step in many computer vision algorithms. Most existing algorithms estimate the homography from point or line correspondences which are difficult to reliably obtain in many real-life situations. In this paper we propose a technique based on correspondences of contours. Homography estimation is carried out in Fourier domain. Starting from an affine estimate, the proposed algorithm computes the projective homography in an iterative manner. This technique does not require explicit point to point correspondences; in fact such point correspondences are a by-product of the proposed algorithm. Experimental results and applications validate the use of our technique.