Maria Lorena Bergamini, Francisco Ansaldo, Glen Bright, Jose Francisco Zelasco
Fundamental matrix, Essential matrix, camera calibration
The Fundamental Matrix, based on the coplanarity condition, even though it is very interesting for theoretical issues, it does not allow to find the camera calibration parameters, and the base and rotation parameters altogether. In this work there is presented an easy calibration method for calculating the internal parameters: pixel dimensions and image center pixel coordinates. We show that the method is slightly easier if the camera rotation, in relation with the general referential system, is small. We evaluate the accuracy of the four calibration parameters by simulations. When the calibration parameters are known, the Fundamental Matrix can be reduced to the Essential Matrix. In order to find the relative orientation parameters in stereo vision, there is also presented a new method to extract the base and the second (right) camera rotation by means of the Essential Matrix. The proposed method is simple to implement.
Cite this paper
Maria Lorena Bergamini, Francisco Ansaldo, Glen Bright, Jose Francisco Zelasco. (2016) Fundamental Matrix: Digital Camera Calibration and Essential Matrix Parameters. International Journal of Signal Processing, 1, 120-126