  The ability to create an accurate three-dimensional reconstruction of a
captured scene draws attention to the principles of light fields. This paper
presents an approach for light field camera calibration and rectification,
based on pairwise pattern-based parameters extraction. It is followed by a
correspondence-based algorithm for camera parameters refinement from arbitrary
scenes using the triangulation filter and nonlinear optimization. The
effectiveness of our approach is validated on both real and synthetic data.
