Synonyms
Definition
When we have multiple cameras and their camera matrices are not fully known but have been obtained up to an ambiguity represented by a single projective transformation, these cameras are said to be weakly calibrated, and the ambiguity is called a projective ambiguity. Also, obtaining camera matrices up to the projective ambiguity is called weak calibration.
Theory
Let us consider N 3D points Xi (i = 1, ⋯ , N), which are projected to M cameras as xji (i = 1, ⋯ , N;j = 1, ⋯ , M). If there is no nonlinear distortion of the second order or higher in this projection, the projection can be represented by M 3 × 4 matrices Pj (j = 1, ⋯ , M) as follows:
where xji and Xiare represented in homogeneous...
References
Hartley R, Zisserman A (2003) Multiple view geometry in computer vision. Cambridge University Press, Cambridge
Longuet-Higgins H (1981) A computer algorithm for reconstructing a scene from two projections. Nature 293:133–135
Hartley R (1997) In defense of the eight-point algorithm. IEEE Trans Pattern Recogn Mach Intell 19(6):580–593
Luong QT, Faugeras O (1996) The fundamental matrix: theory, algorithms, and stability analysis. Int J Comput Vis 17(1):43–76
Zhang Z (1998) Determining the epipolar geometry and its uncertainty: a review. Int J Comput Vis 27(2):161–198
Triggs B, McLauchlan PF, Hartley R, Fitzgibbon AW (1999) Bundle adjustment – a modern synthesis. In: Proceedings of international workshop on vision algorithms: theory and practice, pp 298–372
Levenberg K (1944) A method for the solution of certain non-linear problems in least squares. Q Appl Math 2(2):164–168
Marquardt D (1963) An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl Math 11(2):431–441
Shashua A (1994) Trilinearity in visual recognition by alignment. In: Proceedings of European conference on computer vision, pp 479–484
Hartley R (1997) Lines and points in three views and the trifocal tensor. Int J Comput Vis 22(2):125–140
Torr PHS, Zisserman A (1997) Robust parameterization and computation of the trifocal tensor. Image Vis Comput 15(8):591–605
Tomasi C, Kanade T (1992) Shape and motion from image streams under orthography: a factorization method. Int J Comput Vis 9(2):137–154
Triggs B (1996) Factorization methods for projective structure and motion. In: Proceedings of IEEE conference on computer vision and pattern recognition, pp 845–851
Author information
Authors and Affiliations
Corresponding author
Section Editor information
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry
Sato, J. (2020). Weak Calibration. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_851-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-03243-2_851-1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03243-2
Online ISBN: 978-3-030-03243-2
eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering