WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 10, 2013
Camera Self-Calibration with Varying Parameters from Two Views
Authors: , , ,
Abstract: This work presents a practical and new approach of self-calibration of cameras with varying parameters, by an unknown planar scene. We show that the estimation of the different parameters of the cameras used can be made from only two matches between two images of the planar scene. The strong point of our method resides at minimizing constraints on the self-calibration system (firstly we estimate the different parameters from only two images, secondly we use only two matches between these images, and thirdly we use the cameras having the varying parameters). The principal idea of our approach is based on demonstrating the relationship between two matches which have a best correlation score ZNCC and the relationship between images of absolute conic for the couple of images. These relations permit to formulate a non-linear cost function, its resolution provides the intrinsic parameters of the cameras used. The robustness of our method in terms of simplicity, stability, accuracy and convergence is shown by the experiment results and the simulations realized.
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Keywords: Interest points, Matching, Homography, Self-Calibration, Varying parameters, Non-linear optimization