Calibration of Central Catadioptric Cameras Using a DLT-Like Approach

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Date

2011-05-01

Author

Puig, Luis
Bastanlar, Yalin
Sturm, Peter
Guerrero, J. J.
Barreto, Joao

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In this study, we present a calibration technique that is valid for all single-viewpoint catadioptric cameras. We are able to represent the projection of 3D points on a catadioptric image linearly with a 6x10 projection matrix, which uses lifted coordinates for image and 3D points. This projection matrix can be computed from 3D-2D correspondences (minimum 20 points distributed in three different planes). We show how to decompose it to obtain intrinsic and extrinsic parameters. Moreover, we use this parameter estimation followed by a non-linear optimization to calibrate various types of cameras. Our results are based on the sphere camera model which considers that every central catadioptric system can be modeled using two projections, one from 3D points to a unitary sphere and then a perspective projection from the sphere to the image plane. We test our method both with simulations and real images, and we analyze the results performing a 3D reconstruction from two omnidirectional images.

Subject Keywords

Software, Artificial Intelligence, Computer Vision and Pattern Recognition

URI

https://hdl.handle.net/11511/68002

Journal

INTERNATIONAL JOURNAL OF COMPUTER VISION

DOI

https://doi.org/10.1007/s11263-010-0411-1

Collections

Graduate School of Informatics, Article

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Citation Formats

L. Puig, Y. Bastanlar, P. Sturm, J. J. Guerrero, and J. Barreto, “Calibration of Central Catadioptric Cameras Using a DLT-Like Approach,” INTERNATIONAL JOURNAL OF COMPUTER VISION, pp. 101–114, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68002.