Camera array image rectification and calibration for stereoscopic and autostereoscopic displays

This paper presents an image rectification method for an arbitrary number of views with aligned camera center. This paper also describes how to extend this method to easily perform a robust camera calibration. These two techniques can be used for stereoscopic rendering to enhance the perception comfort or for depth from stereo. In this paper, we first expose why epipolar geometry is not suited to solve this problem. Second, we propose a nonlinear method that includes all the images in the rectification process. Then, we detail how to extract the rectification parameters to provide a quasi-Euclidean camera calibration. Our method only requires point correspondences between the views and can handle images with different resolutions. The tests show that it is robust to noise and to sparse point correspondences among the views.