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| Orthogonal Approximation Algorithm for Parameter Model Optimization |
| Yang Dan①; You Lei②; Zhang Xiao-hong① |
| ①College of Software Engineering, Chongqing University, Chongqing 400044, China; ②College of Mathematics & Physics, Chongqing University, Chongqing 400044, China |
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Abstract 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.
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Received: 01 December 2008
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2009, Vol. 31 
