Universidad Complutense de Madrid
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Autocalibration with the Minimum Number of Cameras with Known Pixel Shape

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Ronda Prieto, José Ignacio and Valdés Morales, Antonio and Gallego Bonet, Guillermo (2011) Autocalibration with the Minimum Number of Cameras with Known Pixel Shape. International Journal of Computer Vision . ISSN 0920-5691 (Print) 1573-1405 (Online) (Submitted)

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Abstract

We address the problem of the Euclidean upgrading of a projective calibration of a minimal set of cameras with known pixel shape and otherwise arbitrarily varying intrinsic and extrinsic parameters. To this purpose, we introduce as our basic geometric tool the six-line conic variety (SLCV), consisting in the set of planes intersecting six given lines of 3D space in points of a conic. We show that the set of solutions of the Euclidean upgrading problem for three cameras with known pixel shape can be parameterized in a computationally efficient. As a consequence, we propose an algorithm that performs a Euclidean upgrading with 5 ({theoretical minimum}) or more cameras with the knowledge of the pixel shape as the only constraint. We provide experiments with real images showing the good performance of the technique.


Item Type:Article
Uncontrolled Keywords:Camera autocalibration, Varying parameters, Square pixels, Three-dimensional reconstruction, Absolute Conic, Six Line Conic Variety
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:14615
Deposited On:07 Mar 2012 15:45
Last Modified:12 Dec 2018 15:13

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