.Registration of image feature points using differential evolution[J].Optoelectronics Letters,2005,1(1):69-71 |
Registration of image feature points using differential evolution |
ZHANG Hao HUANG Zhan-hua YU Dao-ying |
[1]College of Precision Instrument and Opto-electronics Engineering, Key Laboratory of Opto-electronic Information Technical Science, EMC ; Tianjin University, Tianjin 300072, China |
Abstract: |
This paper introduces a robust global nonlinear optimizer—differential evolution (DE), which is a simple evolution algorithm
to search for an optimal transformation that makes the best alignment of two sets of feature points. To map the problem of
matching into the framework of DE, the objective function is proportional to the registration error which is measured by Hausdorff
distance, while the parameters of transformation are encoded in floating-point as the functional variables. Three termination
criteria are proposed for DE. A simulation of 2-dimensional point sets and a similarity transformation are presented to compare
the robustness and convergence properties of DE with genetic algorthms (GA). And the registration of an object and its contour
model have been demonstrated by using of DE to natural images. |
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