Image registration based on gradient and least square optimization technique is one of the most edge-cutting registration algorithms. Such method, especially useful for sub-pixel motion, searches for the best motion in an iterative way. This paper solves the same motion registration problem following this direction. And the well-known Gauss-Newton method (GNM) is employed here as the optimization tool. To achieve a speed-up and reduction of the arithmetic calculation, a simplified high order approach(SHoA) used to calculate several parameters for GNM is introduced. Detailed complexity analysis and performance comparison are presented showing that such an approach is a better trade-off between registration error and the number of math operations.
['Yannan Wu', 'Oscar C. Au', 'Enming Luo', 'Chi-Ho Yeung', 'Shing Fat Tu']
Image registration method based on local high order approach