Abstract
An affine invariant 2D curve matching and alignment approach is proposed to solve the image registration problem. Superior accuracy and efficiency is achieved by a concept called super-resolution curve and a technique called B-spline fusion. A super-resolution curve is formed by superimposing two affine related and registered curves (in discrete form) upon each other. The B-spline fusion technique is designed to obtain a single B-spline approximation of the super-resolution curve and registration estimate simultaneously. Occlusion is handled by curve segmentation using inflections and cusps, which are affine invariant. Partial match then becomes possible by matching segments of curves. A complete image registration framework based on edge detection and curve alignment is then proposed. Accurate registration results have been achieved.
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