title: Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features.
abstract: We present a novel method for the geometric calibration of micro-lens-based light field cameras. Accurate geometric calibration is the basis of various applications. Instead of using sub-aperture images, we directly utilize raw images for calibration. We select appropriate regions in raw images and extract line features from micro-lens images in those regions. For the entire process, we formulate a new projection model of a micro-lens-based light field camera, which contains a smaller number of parameters than previous models. The model is transformed into a linear form using line features. We compute the initial solution of both the intrinsic and the extrinsic parameters by a linear computation and refine them via non-linear optimization. Experimental results demonstrate the accuracy of the correspondences between rays and pixels in raw images, as estimated by the proposed method.
authors.forename: Yunsu
authors.initials: Y
authors.lastname: Bok
authors.forename: Hae-Gon
authors.initials: HG
authors.lastname: Jeon
authors.forename: In So
authors.initials: IS
authors.lastname: Kweon