Planar Self-Calibration with Less Constraint

In this article, we are presenting a robust method of camera selfcalibration (characterized by constant intrinsic parameters), by an unknown planar scene. The originality of our method is the use of only two matches detected in the images taken by the camera that can simplify the equations of self-calibration and to estimate the camera intrinsic parameters. The strong point of our new method is the camera self-calibration with less constraint. Three images and two points of an unknown 2D scene are sufficient for camera self-calibration. The simulations and the experimental results show the performance of our algorithms in terms of precision, convergence and stability.

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