The ability of light gathering of plenoptic\ncamera opens up new opportunities for a wide range\nof computer vision applications. An efficient and\naccurate method to calibrate plenoptic camera is\ncrucial for its development. This paper describes a 10-\nintrinsic-parameter model for focused plenoptic camera\nwith misalignment. By exploiting the relationship\nbetween the raw image features and the depthââ?¬â??scale\ninformation in the scene, we propose to estimate\nthe intrinsic parameters from raw images directly,\nwith a parallel biplanar board which provides depth\nprior. The proposed method enables an accurate\ndecoding of light field on both angular and positional\ninformation, and guarantees a unique solution for the 10\nintrinsic parameters in geometry. Experiments on both\nsimulation and real scene data validate the performance\nof the proposed calibration method.
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