Bibliography

[Alahi]A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
[Bujnak]M. Bujnak, Z. Kukelova, and T. Pajdla. A General Solution to the P4P Problem for Camera with Unknown Focal Length. Computer Vision and Pattern Recognition, 2008. IEEE Conference on.
[Cheng]Cheng, J. and Leng, C. and Wu, J. and Cui, H. Hanqing LuFast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. Computer Vision and Pattern Recognition (CVPR), 2014.
[Chum]O. Chum and J. Matas. 2005. Matching with PROSAC - Progressive Sample Consensus. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR‘05) - Volume 1 - Volume 01 (CVPR ‘05), Vol. 1. IEEE Computer Society, Washington, DC, USA, 220-226
[ChumRandomizedRansac]Chum, O. and Matas, J. Randomized RANSAC and T(d,d) test, BMVC 2002
[BRIEF]Calonder, M. and Lepetit, V. and, Strecha, C. and Fua, P. BRIEF: Binary Robust Independent Elementary Features, 11th European Conference on Computer Vision (ECCV), September 2010
[Fischler]M. Fischler and R. Bolles. 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24, 6 (June 1981), 381-395.
[Fragoso]V. Fragoso, P. Sen, S. Rodriguez, and M. Turk. EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory. In Proceedings of the IEEE International Conference in Computer Vision (ICCV), Sydney, Australia, December 2013.
[HartleyZisserman]R.I. Hartley & A. Zisserman, Multiview Geometry in Computer Vision, Cambridge University Press, 2004.
[Hesch]J. Hesch, S. Roumeliotis. A Direct Least-Squares (DLS) Approach for PnP, In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2013
[Kneip]L. Kneip, D. Scaramuzza, R. Siegwart, A Novel Parametrization of the Perspective-Three-Point Problem for a Direct Computation of Absolute Camera Position and Orientation, In Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Colorado Springs, USA. June 2011.
[JiangICCV]Jiang, N. and Cui, Z., and Tan, P. A Global Linear Method for Camera Pose Registration, International Conference on Computer Vision (ICCV), 2013.
[Kukelova]Z. Kukelova, M. Bujnak, T. Pajdla. Real-time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length. In Proceedings of the International Conference on Computer Vision (ICCV) 2013
[Leutenegger]S. Leutenegger, M. Chli and R. Siegwart, BRISK: Binary Robust Invariant Scalable Keypoints, In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2011
[Lindstrom]Lindstrom, P. Triangulation Made Easy, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010.
[Lowe]David G. Lowe, Object recognition from local scale-invariant features, International Conference on Computer Vision, Corfu, Greece (September 1999), pp. 1150-1157
[Matas]J. Matas and O. Chum. 2005. Randomized RANSAC with Sequential Probability Ratio Test. In Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2 (ICCV ‘05), Vol. 2. IEEE Computer Society, Washington, DC, USA, 1727-1732.
[Mair]E. Mair, G. D. Hager, D. Burschka, M. Suppa, and G. Hirzinger. Adaptive and generic corner detection based on the accelerated segment test. In Proceedings of the European Conference on Computer Vision (ECCV‘10), September 2010.
[MoulonICCV]Moulon, P. and Monasse, P. and Marlet, R. Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion International Conference on Computer Vision (ICCV), 2013.
[Nister]David Nistér. 2004. An Efficient Solution to the Five-Point Relative Pose Problem. IEEE Trans. Pattern Anal. Mach. Intell. 26, 6 (June 2004), 756-777.
[Raguram]R. Raguram, J.M. Frahm, and M. Pollefeys. 2008. A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus. In Proceedings of the 10th European Conference on Computer Vision: Part II (ECCV ‘08), David Forsyth, Philip Torr, and Andrew Zisserman (Eds.). Springer-Verlag, Berlin, Heidelberg, 500-513
[RaguramFrahm]R. Raguram, J.M. Frahm. RECON: Scale-Adaptive Robust Estimation via Residual Consensus. International Conference on Computer Vision (ICCV), 2011.
[Stewenius5pt]H. Stewénius, C. Engels, D. Nistér. Recent developments on direct relative orientation. ISPRS Journal of Photogrammetry and Remote Sensing, 2006
[SweeneyGDLS]C. Sweeney, V. Fragoso, T. Hollerer, M. Turk. gDLS: A Scalable Solution to the Generalized Pose and Scale Problem. European Conference on Computer Vision (ECCV), 2014
[SweeneyQEP]C. Sweeney, J. Flynn, M. Turk. Solving for Relative Pose with a Partially Known Rotation is a Quadratic Eigenvalue Problem. International Conference on 3D Vision (3DV), 2014
[Torr]P. H. S. Torr and A. Zisserman. 2000. MLESAC: a new robust estimator with application to estimating image geometry. Comput. Vis. Image Underst. 78, 1 (April 2000), 138-156.
[Umeyama]Umeyama, S. Least-squares estimation of transformation parameters between two point patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991.
[WilsonECCV]Wilson, K. and Snavely, N. Robust Global Translation with 1DSfM European Conference on Computer Vision, 2014.