Orthogonal Approximation Algorithm for Parameter Model Optimization
参数优化模型的正交逼近算法

Image registration is transformed an unconstrained optimization problem in image mosaic. Parameter optimization model algorithm is proposed by means of quadratic form theory-- orthogonal approximation algorithm. According to properties of best-function, a direct method is adopted without calculating derivative or gradient, only calculating function values. The advantages are eliminating of taking up large computer memory, only using a matrix to store information. Simulation experiments show the algorithm has advantages of fast convergence, result precisely and good practicality.