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- W2066730585 abstract "This paper presents a genetic algorithm for bundle adjustment in aerial panoramic stitching. Compared with the conventional LM (Levenberg-Marquardt) algorithm for bundle adjustment, the proposed bundle adjustment combining the genetic algorithm optimization eliminates the possibility of sticking into the local minimum, and not requires the initial estimation of desired parameters, naturally avoiding the associated steps, that includes the normalization of matches, the computation of homography transformation, the calculations of rotation transformation and the focal length. Since the proposed bundle adjustment is composed of the directional vectors of matches, taking the advantages of genetic algorithm (GA), the Jacobian matrix and the normalization of residual error are not involved in the searching process. The experiment verifies that the proposed bundle adjustment based on the genetic algorithm can yield the global solution even in the unstable aerial imaging condition." @default.
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- W2066730585 date "2015-03-04" @default.
- W2066730585 modified "2023-09-27" @default.
- W2066730585 title "Genetic algorithm for bundle adjustment in aerial panoramic stitching" @default.
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- W2066730585 doi "https://doi.org/10.1117/12.2178852" @default.
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