MRPT  2.0.5

Jose-Luis Blanco. A tutorial on se (3) transformation parameterizations and on-manifold optimization. University of Malaga, Tech. Rep, 2010.


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V. Garro, F. Crosilla, and A. Fusiello. Solving the pnp problem with anisotropic orthogonal procrustes analysis. In 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization Transmission, pages 262–269, Oct 2012.


Joel A. Hesch and Stergios I. Roumeliotis. A direct least-squares (dls) method for pnp. In Proceedings of the 2011 International Conference on Computer Vision, ICCV '11, pages 383–390, Washington, DC, USA, 2011. IEEE Computer Society.


L. Kneip, D. Scaramuzza, and R. Siegwart. A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 2969–2976, 2011.


Laurent Kneip, Hongdong Li, and Yongduek Seo. UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability, pages 127–142. Springer International Publishing, Cham, 2014.


S. Li, C. Xu, and M. Xie. A robust o(n) solution to the perspective-n-point problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(7):1444–1450, July 2012.


C.-P. Lu, G.D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 22(6):610–622, Jun 2000.


F. Moreno-Noguer, V. Lepetit, and P. Fua. Accurate non-iterative o(n) solution to the pnp problem. In Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, pages 1–8, Oct 2007.

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