RT Journal Article
T1 Autocalibration with the Minimum Number of Cameras with Known Pixel Shape
A1 Ronda Prieto, José Ignacio
A1 Valdés Morales, Antonio
A1 Gallego Bonet, Guillermo
AB 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.
PB Springer
SN 0920-5691 (Print) 1573-1405 (Online)
YR 2011
FD 2011
LK https://hdl.handle.net/20.500.14352/42061
UL https://hdl.handle.net/20.500.14352/42061
LA eng
DS Docta Complutense
RD 10 abr 2025