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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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Subject: search.filters.subject.automatic calibration

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    A Fully Automatic Approach for Fisheye Camera Calibration
    (2018-01-01)
    Tai, Yen-Chou
    ;
    Hsieh, Yi-Yu
    ;
    Chuang, Jen-Hui
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    資訊工程學系
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    Department of Computer Science
    An automatic calibration procedure for a fisheye camera is presented in this paper by employing a flat panel monitor. The procedure does not require precise camera-monitor alignment, and any manual input of data or commands, making it useful for factory automation for mass production of such cameras. The fully automatic calibration procedure, which requires the generation of various test patterns on the display, and analysis of fisheye images of these patterns, consists of the following steps: (i) estimate the image center of the camera, (ii) identify the line on the monitor which intersects optical axis of the camera perpendicularly, and (iii) along the above line, obtain calibration data needed in de-warping the fisheye image. Experimental results demonstrate that the proposed approach performs satisfactorily in terms of effectiveness and accuracy.
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    Fully Automatic Camera Calibration for Principal Point Using Flat Monitors
    (2018-01-01)
    Lu, Mu-Tien
    ;
    Chuang, Jen-Hui
    ;
    交大名義發表
    ;
    National Chiao Tung University
    In this paper, a novel, fully automatic camera calibration procedure is proposed to estimate the camera principal point, i.e., the intersection of the optical axis and the image plane. The basic idea is to derive the orthogonal projection of the camera optical axis onto the flat-screen monitor via changing/analyzing simple edge patterns displayed on the flat monitor. The principal point can then be estimated as the intersection of images of line features thus derived on the screen, called calibration lines, from multiple monitor configurations. Thus, the calibration can be performed automatically using fixed camera and multiple monitors, or using multiple poses of a movable monitor. Several experiments are developed to evaluate the proposed method for accuracy as well as robustness, and the results show that the proposed approach compares favorably with some previous works, including the classic Zhang's algorithm that derives the principal point together with other camera parameters at the same time.