"IEEE Computer Society Press" . "RIV/68407700:21230/13:00212566" . "101648" . "http://cmp.felk.cvut.cz/~kukelova/publications/Kukelova-Bujnak-ICCV-2013.pdf" . "The problem of determining the absolute position and orientation of a camera from a set of 2D-to-3D point correspondences is one of the most important problems in computer vision with a broad range of applications. In this paper we present a new solution to the absolute pose problem for camera with unknown radial distortion and unknown focal length from five 2D-to-3D point correspondences. Our new solver is numerically more stable, more accurate, and significantly faster than the existing state-of-the-art minimal four point absolute pose solvers for this problem. Moreover, our solver results in less solutions and can handle larger radial distortions. The new solver is straightforward and uses only simple concepts from linear algebra. Therefore it is simpler than the state-of-the-art Groebner basis solvers. We compare our new solver with the existing state-of-the art solvers and show its usefulness on synthetic and real datasets."@en . "2013 IEEE International Conference on Computer Vision (ICCV 2013)" . "1550-5499" . . . . "Sydney" . "2013-12-03+01:00"^^ . . "[3936154A04D7]" . . "The problem of determining the absolute position and orientation of a camera from a set of 2D-to-3D point correspondences is one of the most important problems in computer vision with a broad range of applications. In this paper we present a new solution to the absolute pose problem for camera with unknown radial distortion and unknown focal length from five 2D-to-3D point correspondences. Our new solver is numerically more stable, more accurate, and significantly faster than the existing state-of-the-art minimal four point absolute pose solvers for this problem. Moreover, our solver results in less solutions and can handle larger radial distortions. The new solver is straightforward and uses only simple concepts from linear algebra. Therefore it is simpler than the state-of-the-art Groebner basis solvers. We compare our new solver with the existing state-of-the art solvers and show its usefulness on synthetic and real datasets." . "Real-time solution to the absolute pose problem with unknown radial distortion and focal length" . "Real-time solution to the absolute pose problem with unknown radial distortion and focal length" . . "978-1-4799-2839-2" . "Los Alamitos" . . "K\u00FAkelov\u00E1, Zuzana" . "Buj\u0148\u00E1k, M." . . . "21230" . "2"^^ . . . . "Real-time solution to the absolute pose problem with unknown radial distortion and focal length"@en . "Pajdla, Tom\u00E1\u0161" . "3"^^ . "8"^^ . "K\u00FAkelov\u00E1, Zuzana" . . . . . "aboslute pose; camera calibration; focal length; radial distortion"@en . . "RIV/68407700:21230/13:00212566!RIV14-MSM-21230___" . . "P(7E13015)" . "Real-time solution to the absolute pose problem with unknown radial distortion and focal length"@en .