A Minimal Solution for Camera Calibration Using Independent Pairwise Correspondences

Francisco Vasconcelos 1 Joao Barreto 1 Edmond Boyer 2
2 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We propose a minimal algorithm for fully calibrating a camera from 11 independent pairwise point correspondences with two other calibrated cameras. Unlike previous approaches, our method neither requires triple correspondences, nor prior knowledge about the viewed scene. This algorithm can be used to insert or re-calibrate a new camera into an existing network, without having to interrupt operation. Its main strength comes from the fact that it is often difficult to find triple correspondences in a camera network. This makes our algorithm, for the specified use cases, probably the most suited calibration solution that does not require a calibration target, and hence can be performed without human interaction
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ECCV'12 - 12th European Conference on Computer Vision, Oct 2012, Firenze, Italy. Springer, 7577, pp.724-737, 2012, Lecture Notes in Computer Science. 〈10.1007/978-3-642-33783-3_52〉
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Francisco Vasconcelos, Joao Barreto, Edmond Boyer. A Minimal Solution for Camera Calibration Using Independent Pairwise Correspondences. ECCV'12 - 12th European Conference on Computer Vision, Oct 2012, Firenze, Italy. Springer, 7577, pp.724-737, 2012, Lecture Notes in Computer Science. 〈10.1007/978-3-642-33783-3_52〉. 〈hal-00735728〉

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