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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/4304

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4304

    Title: 3-D object recognition by line features using binocular images
    Authors: W. H. Tsai;S. I. Gao;N. Y. Yeh
    Contributors: Department of Information Communication
    Date: 1986-01
    Issue Date: 2009-11-25 10:30:47 (UTC+8)
    Publisher: Asia University
    Abstract: A binocular vision system for 3-D object recognition is proposed. The objects to be recognized are assumed to have line features on their surfaces. Line segments are used as the units for object surface representation. A line correspondence algorithm is designed to find corresponding line segments in binocular images. Such line pairs are used to find corresponding corner points on the object surface, by which 3-D data can be computed. They are then used for shape matching which consists of 3-D registration and similarity comparison. The 3-D registration is accomplished by an extended line-based generalized Hough transform algorithm. And the similarity measure is defined in terms of the overlapping line segment length of two compared shapes. Experimental results show the feasibility of the proposed approach.
    Relation: Information Science and Engineering (now Journal of Information Science and Engineering) 2 (1): 99-123
    Appears in Collections:[資訊傳播學系] 期刊論文

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