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We present a new convex method to estimate 3D pose from mixed combinations of 2D-3D point and line correspondences, the Perspective-n-Points-and-Lines problem (PnPL).
1907
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Li, S., Xu, C., Xie, M.: A robust o (n) solution to the perspective-n-point problem. IEEE transactions on pattern analysis and machine intelligence 34
2012
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Zhang, L., Xu, C., Lee, K.M., Koch, R.: Robust and efficient pose estimation from line correspondences. In: Asian Conference on Computer Vision. pp. 217–230. Springer (2012)
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Kuang, Y., Astrom, K.: Pose estimation with unknown focal length using points, directions and lines. In: The IEEE International Conference on Computer Vision (ICCV) (December 2013)
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Zheng, Y., Kuang, Y., Sugimoto, S., Åström, K., Okutomi, M.: Revisiting the pnp problem: A fast, general and optimal solution. In: The IEEE International Conference on Computer Vision (ICCV) (December 2013)
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Brachmann, E., Krull, A., Michel, F., Gumhold, S., Shotton, J., Rother, C.: Learning 6d object pose estimation using 3d object coordinates. In: European conference on computer vision. pp. 536–551. Springer (2014)
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Ferraz, L., Binefa, X., Moreno-Noguer, F.: Very fast solution to the pnp problem with algebraic outlier rejection. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2014)
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Kneip, L., Li, H., Seo, Y.: Upnp: An optimal o (n) solution to the absolute pose problem with universal applicability. In: European Conference on Computer Vision. pp. 127–142. Springer (2014)
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Marchand, E., Uchiyama, H., Spindler, F.: Pose estimation for augmented reality: a hands-on survey. IEEE transactions on visualization and computer graphics 22
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Vakhitov, A., Funke, J., Moreno-Noguer, F.: Accurate and linear time pose estimation from points and lines. In: European Conference on Computer Vision. pp. 583–599. Springer (2016)
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Briales, J., Gonzalez-Jimenez, J.: Convex global 3d registration with lagrangian duality. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (July 2017)
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Přibyl, B., Zemčík, P., Čadík, M.: Absolute pose estimation from line correspondences using direct linear transformation. Computer Vision and Image Understanding 161
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Briales, J., Kneip, L., Gonzalez-Jimenez, J.: A certifiably globally optimal solution to the non-minimal relative pose problem. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2018)
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Rosen, D.M., Carlone, L., Bandeira, A.S., Leonard, J.J.: Se-sync: A certifiably correct algorithm for synchronization over the special euclidean group. The International Journal of Robotics Research 38
2019
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2019
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Zhou, L., Yang, Y., Abello, M., Kaess, M.: A robust and efficient algorithm for the pnl problem using algebraic distance to approximate the reprojection distance (2019)
2019
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