The Method Of Multi-Camera Calibration Combining Rectification Error

Nowadays,3D reconstruction technology has been developed so rapidly in the domain of computer vision. Image-based reconstruction technology gains a lot of attention on account of its brief hardware need and high feasibility. The premise of image-based reconstruction is that the cameras which are used to take pictures must be calibrated. So as the base of the 3D reconstruction, camera calibration technology has also gained much focus. The point-matching technology is so important that it will decide whether the result of the 3D reconstruction will be good enough. We can rectify the picture first in order to do dense matching between two pictures, because this can decrease the search of match points from two dimensions to one dimension. Only if the cameras have been calibrated correctly, can the pictures be rectified correctly, only the minimizing of the reprojection error of the 3D points in the 3D space is considered in the traditional camera calibration technology, the minimizing of the rectification error between matching points on the pictures is not considered.This paper paid attention to the new method of camera calibration, presented and realized the method of camera calibration combining rectification error. The camera parameters solved through this method, can not only make sure that the reprojection error of a portion of 3D points in the 3D space is minimized, but can also guarantee that the rectification error of the matching points on the pictures is minimized too. The algorithm about calibration method of binocular and multi-cameras combining rectification error has been described in detail in the paper, and also the result of dense-matching and 3D reconstruction between two pictures using the cameras' parameters solved by the new method is showed next.At the end of the paper, the new method of camera calibration combining rectification error is realized and designed into a calibration system, which provides camera parameters to the 3D-reconstruction system in our lab.