The concept of plenoptic cameras has existed since the early 1900s, with recent advances in computational power making them a viable tool for industrial applications. Plenoptic cameras can give 3D information about the scene with one camera, one lens, and a single image. This is possible by placing a microlens array directly in front of the image sensor. The depth estimation is based on disparities observed in individual microlens images, similar to stereo camera approaches. To relate these so-called virtual depth units to metric distances, a camera calibration must be performed. This paper presents a robust, automated camera calibration technique, which introduces new ways to model a multi-focus plenoptic camera.
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