4 March 2015 Genetic algorithm for bundle adjustment in aerial panoramic stitching
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94431G (2015) https://doi.org/10.1117/12.2178852
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
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.
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Chunxiao Zhang, Chunxiao Zhang, Gaojin Wen, Gaojin Wen, Chunnan Wu, Chunnan Wu, Hongmin Wang, Hongmin Wang, Zhiming Shang, Zhiming Shang, Qian Zhang, Qian Zhang, "Genetic algorithm for bundle adjustment in aerial panoramic stitching", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431G (4 March 2015); doi: 10.1117/12.2178852; https://doi.org/10.1117/12.2178852
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