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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 596-600
ABSTRACT
A detail comparative study is carried out on three representative iterative-optimization-based image registration methods, namely digital Image Correlation Using Newton-Raphson Iteration, Iterative Gray-Gradient Algorithm and Least Square Image Matching , which are originated and developed in the fields of optical experimental mechanics and stereo vision respectively. The mathematical consistency of the three algorithms is first demonstrated. Analysis and comparison of some further conclusions drawn from the three methods are then conducted. As the analysis and comparison show, these further conclusions can explain each other and can be mutually employed among the three methods. However, in view of algorithm implementation and extension, Image Correlation Using Newton-Raphson Iteration is more adaptable and flexible.
INDEX TERMS
image registration, digital image correlation, iterative optimization, Newton Raphson method, least square method
CITATION
N. Ye, L.Y. Zhang, H.T. Wang, H. Zhang, "Comparative Study on Iterative-Optimization-Based Image Registration Algorithms", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 596-600, doi:10.1109/CSIE.2009.571
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