Publisher
Springer International Publishing
Reference53 articles.
1. Ramalingam, S., Bouaziz, S., Sturm, P.: Pose estimation using both points and lines for geo-localization. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 4716–4723 (2011)
2. Kuang, Y., Astrom, K.: Pose estimation with unknown focal length using points, directions and lines. In: IEEE International Conference on Computer Vision (ICCV), pp. 529–536 (2013)
3. Haralick, R., Lee, C.N., Ottenberg, K., Nolle, M.: Review and analysis of solutions of the three point perspective pose estimation problem. Int. J. Comput. Vis. (IJCV) 13(3), 331–356 (1994)
4. Gao, X.S., Hou, X.R., Tang, J., Cheng, H.F.: Complete solution classification for the perspective-three-point problem. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI) 25(8), 930–943 (2003)
5. Kneip, L., Scaramuzza, D., Siegwart, R.: A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. In: IEEE Conference on Computer Vision and Patter Recognition (CVPR), pp. 2969–2976 (2011)
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