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Geometric Inference with Microlens Arrays

Ian Peter Schillebeeckx

出版	Washington University, 2016
URL	http://books.google.com.hk/books?id=hlBGnQAACAAJ&hl=&source=gbs_api

註釋

This dissertation explores an alternative to traditional fiducial markers where geometricinformation is inferred from the observed position of 3D points seen in an image. We offer an alternative approach which enables geometric inference based on the relative orientationof markers in an image. We present markers fabricated from microlenses whose appearancechanges depending on the marker's orientation relative to the camera. First, we show howto manufacture and calibrate chromo-coding lenticular arrays to create a known relationshipbetween the observed hue and orientation of the array. Second, we use 2 small chromo-coding lenticular arrays to estimate the pose of an object. Third, we use 3 large chromo-coding lenticular arrays to calibrate a camera with a single image. Finally, we create another type of fiducial marker from lenslet arrays that encode orientation with discrete black and white appearances. Collectively, these approaches oer new opportunities for pose estimation and camera calibration that are relevant for robotics, virtual reality, and augmented reality.