ASIA unversity:Item 310904400/3453
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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/3453


    Title: Recognition of single 3D curved objects using 2D cross-sectional slice shapes
    Authors: MC Yang;WH Tsai
    Contributors: Department of Information Communication
    Keywords: matching;curve fitting;image processing
    Date: 1989
    Issue Date: 2009-11-17 11:17:06 (UTC+0)
    Publisher: Asia University
    Abstract: A new approach to recognition of single 3D curved objects is proposed. Horizontal cross-sectional slice shapes are used for 3D object representation. 3D object recognition is accomplished by matching the cross-sectional slice shapes of an input object with those of each object model. Thus, 2D image analysis techniques can be used for slice shape matching, including the use of the distance-weighted correlation for shape similarity measurement and the construction of a decision tree for decision-making.
    Relation: Image and Vision Computing 7(3):210-216
    Appears in Collections:[Department of Information Communication] Journal Article

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