ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 273-278, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-273-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
APPLICATION AND PERFORMANCE ANALYSIS OF A NEW BUNDLE ADJUSTMENT MODEL
Y. Sun1,2, X. Liu1, R. Chen2, J. Wan2, Q. Wang2, H. Wang3, Y. Li4, and L. Yan2 1Chinese Academy of Surveying & Mapping, Beijing, 100039, China
2Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing, 100871,China
3Institute of surveying and mapping PLA information engineering university, Zhengzhou, 450052, China
4China Top RS Technology Co. Ltd, 16 North Taiping Road, Beijing 100039, China
Keywords: Bundle Adjustment, Parallax Angle, Convergence, Aerial Photogrammetry, Nonlinear Optimization Abstract. As the basis for photogrammetry, Bundle Adjustment (BA) can restore the pose of cameras accurately, reconstruct the 3D models of environment, and serve as the criterion of digital production. For the classical nonlinear optimization of BA model based on the Euclidean coordinate, it suffers the problem of being seriously dependent on the initial values, making it unable to converge fast or converge to a global minimum. This paper first introduces a new BA model based on parallax angle feature parametrization, and then analyses the applications and performance of the model used in photogrammetry field. To discuss the impact and the performance of the model (especially in aerial photogrammetry), experiments using two aerial datasets under different initial values were conducted. The experiment results are better than some well-known software packages of BA, and the simulation results illustrate the stability of the new model than the normal BA under the Euclidean coordinate. In all, the new BA model shows promising applications in faster and more efficient aerial photogrammetry with good convergence and fast convergence speed.
Conference paper (PDF, 1252 KB)


Citation: Sun, Y., Liu, X., Chen, R., Wan, J., Wang, Q., Wang, H., Li, Y., and Yan, L.: APPLICATION AND PERFORMANCE ANALYSIS OF A NEW BUNDLE ADJUSTMENT MODEL, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 273-278, https://doi.org/10.5194/isprs-annals-IV-2-W4-273-2017, 2017.

BibTeX EndNote Reference Manager XML