Abstract
A method of relative orientation of tilted aerial photograph image using basic matrix is proposed. First, the basic matrix between stereo images is constructed and each element is solved linearly; then, the relative orientation element is directly derived from the basic matrix; finally, the relative orientation element is regarded as the initial value to be solved strictly and iteratively, so as to obtain the accurate relative square element value. The experimental results show that this method is suitable for both conventional aerial photography and oblique photography, and can meet the application requirements of stereo model reconstruction.
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Mikhail, E.M., Bethel, J.S., Mcglone, J.C.: Introduction to Modern Photogrammetry. Wiley, New York (2001)
Horn, B.K.P.: Relative orientation. Int. J. Comput. Vis. 4(1), 59–78 (1990)
Zhang, Y.J., Huang, X., Hu, X.Y., et al.: Direct relative orientation with four independent constraints. ISPRS J. Photogram. Remote Sens. 66(6), 809–817 (2011)
Stewenius, H., Engels, C., Nister, D.: Recent developments on direct relative orientation. ISPRS J. Photogram. Remote Sens. 60(4), 284–294 (2006)
Wang, J., Lin, Z., Ren, C.: Relative orientation in low altitude photogrammetry survey. ISPRS Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. 1, 463–467 (2012)
Nister, D.: An efficient solution to the five-point relative pose problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(6), 756–770 (2004)
Zhang, Y., Li, Y., Su, J.: Iterative learning control for image feature extraction with multiple-image blends. J Image Video Proc. 2018, 100 (2018). https://doi.org/10.1186/s13640-018-0336-0
Zhang, Y., Li, Y., Su, J.: Iterative learning control for a class of parabolic system fault diagnosis. Cluster Comput. 22, 6209–6217 (2019). https://doi.org/10.1007/s10586-018-189
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This work supported by The Science Project of Hainan Province (No. 618MS025), Guangxi Key Laboratory of Cryptography and Information Security (No. GCIS201607), the college students’ innovation and entrepreneurship training project (S201910622065).
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Luo, T., Tang, C., Ye, J., Tang, B. (2021). Fast Relative Orientation Algorithm of Tilt Photogrammetry. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_117
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DOI: https://doi.org/10.1007/978-3-030-53980-1_117
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