PROJECT TITLE :

Automated Robust Metric Calibration Algorithm for Multifocus Plenoptic Cameras

ABSTRACT:

The concept of plenoptic cameras has existed since the first 1900s, with recent advances in computational power creating them a viable tool for industrial measurement applications. Plenoptic cameras will give three-D information for each purpose of the scene with one camera, one lens, and one image. This is often attainable by inserting a microlens array directly in front of the image sensor. The depth estimation relies on disparities observed in neighboring microlens images, similar to stereo camera approaches. To relate these thus-known as virtual depth units to metric distances, a camera calibration must be performed. This paper presents a strong, automated camera calibration technique, that introduces new ways that to model a multifocus plenoptic camera.


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