Orthogonal Approximation Algorithm for Parameter Model Optimization

Yang Dan; You Lei; Zhang Xiao-hong

doi:10.3724/SP.J.1146.2008.01585

Volume 31 Issue 11

Dec. 2010

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Yang Dan, You Lei, Zhang Xiao-hong. Orthogonal Approximation Algorithm for Parameter Model Optimization[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2610-2613. doi: 10.3724/SP.J.1146.2008.01585

Citation:

Yang Dan, You Lei, Zhang Xiao-hong. Orthogonal Approximation Algorithm for Parameter Model Optimization[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2610-2613. doi: 10.3724/SP.J.1146.2008.01585

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Orthogonal Approximation Algorithm for Parameter Model Optimization

doi: 10.3724/SP.J.1146.2008.01585 cstr: 32379.14.SP.J.1146.2008.01585

Received Date: 2008-12-01
Rev Recd Date: 2009-06-01
Publish Date: 2009-11-19

Abstract

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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References

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