Calibra？？o binocular com gabaritos 1D sem restri？？o demovimentos

in computer vision, the camera calibration is a process needed when the recovery of some information, such as angles and distances, is desired. the present work deals with the problem of camera calibration using one-dimensional patterns. nowadays, this problem only has a solution if some restrictions to the pattern's movement are imposed or if some angles of the cameras are known in advance. however, a different approach can be applied if, instead of only one camera, a stereo system is considered. in that case, the calibration is possible with a one-dimensional pattern that executes an unknown and unrestricted movement, even without any previous information concerning the cameras. such method is based on the estimation of a transform which, after the estimation of the system's fundamental matrix, allows updating a projective calibration into a euclidean calibration. experiments using both real and synthetic images validate the new method and demonstrate that its accuracy is comparable to other well known calibration methods in the literature.