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    請使用永久網址來引用或連結此文件: http://ir.meiho.edu.tw/ir/handle/987654321/2544


    題名: A FRAMEWORK OF BARCODE LOCALIZATION FOR MOBILE ROBOTS
    作者: Cheng-Chin Chen;Shih-Hsuan Chiu;Jun-Huei Lee;Sung-Yueh Chen;Sheng-Hong Pong
    貢獻者: 健康暨護理學院
    日期: 2013
    上傳時間: 2014-09-16T07:56:15Z (UTC)
    摘要: Traditional automatic barcode localization method in mobile service
    robots for assisting shopping services has a conflict between wide
    field of view for barcode detection and high resolution barcode
    images for barcode localization. To resolve this conflict, we use
    two auto-focus zoom cameras in the framework: one static camera
    with a short focal length is used to capture the wide field image
    for barcode regions detection, and the other one is a pan-tiltzoom
    camera to capture the sharp and high resolution barcode
    images for barcode localization. In addition, a novel barcode
    localization algorithm of field mode is also proposed. By using
    the framework, higher flexibility on the camera-to-object distance is
    beneficial for mobile robots in automatic barcode localization. The
    experimental results show that the proposed framework with the
    proposed barcode localization algorithm can accurately localize the
    barcodes on product packaging with complex imprinted patterns.
    關聯: International Journal of Robotics and Automation
    顯示於類別:[資訊科技系] 期刊論文

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