Paper
4 March 2015 Genetic algorithm for bundle adjustment in aerial panoramic stitching
Chunxiao Zhang, Gaojin Wen, Chunnan Wu, Hongmin Wang, Zhiming Shang, Qian Zhang
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunxiao Zhang, Gaojin Wen, Chunnan Wu, Hongmin Wang, Zhiming Shang, and 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); https://doi.org/10.1117/12.2178852
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KEYWORDS
Panoramic photography

Genetic algorithms

Cameras

Airborne remote sensing

Image processing

Biological research

Data processing

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