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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features
verfasst von : Yunsu Bok, Hae-Gon Jeon, In So Kweon
Erschienen in: Computer Vision – ECCV 2014
Verlag: Springer International Publishing
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We present a novel method of geometric calibration of micro-lens-based light-field cameras. Accurate geometric calibration is a basis of various applications. Instead of using sub-aperture images, we utilize raw images directly for calibration. We select proper regions in raw images and extract line features from micro-lens images in those regions. For the whole process, we formulate a new projection model of micro-lens-based light-field cameras. It is transformed into a linear form using line features. We compute an initial solution of both intrinsic and extrinsic parameters by a linear computation, and refine it via a non-linear optimization. Experimental results show the accuracy of the correspondences between rays and pixels in raw images, estimated by the proposed method.