Autocalibration with the Minimum Number of Cameras with Known Pixel Shape



Downloads per month over past year

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)

[thumbnail of ConicsThroughSixLines-preprint.pdf] PDF


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

Origin of downloads

Repository Staff Only: item control page