Arithmetic for Camera Calibration Based on Epipolar Geometry and Active Vision

The aim of this paper is to propose an efficient solution to the problem of the camera calibration.This method is based on the epipolar geometry constraintand active vision.At the same time,the evaluation object function containing the intrinsic parameters of the camera is obtained.The intrinsic parameters of the camera are optimized directly by the genetic algorithm.The proposed method only needs one time translation of the camera and doesn't require any specialized hardware support.Simulations and experiments with real images show that the technique can substantially improve the robustness,convenience and accuracy of the calibration.It works well in the 3D reconstruction system.