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    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/46326


    Title: 3-D object recognition using generalized features
    Authors: Sheu, D. Daniel
    教師: 許棟樑
    Date: 1990
    Publisher: Society of Manufacturing Engineers
    Relation: Vision '90 - Conference Proceedings, Detroit, MI, USA, Nov 12 - 15, 1990, Pages 15
    Keywords: Machine Vision Object Recognition
    Abstract: A METHOD FOR 3-D OBJECT POSE FROM SINGLE IMAGES IS PRESENTED. A VIRTUAL VIEWPOINT ANALYSIS SHOWS THAT A FEATURE-CENTERED COORDINATE SYSTEM DRASTICALLY REDUCES THE MATHEMATICAL COMPLEXITY OF THE INVERSE PROJECTION PROBLEM FOR ELLIPSES. PARAMETRIC MATCHING BY GENERALIZED FEATURES SOLVES FOR VIEWPOINTS. THIS PAPER REVIEWS: SOLVING THE PROBLEM OF ELLIPSE-TO-ELLIPSE CORRESPONDENCE, THUS GREATLY EXTENDING THE CLASS OF RECOGNIZABLE OBJECTS; GENERALIZED FEATURES WHICH CAN ASSUME VARIOUS CONFIGURATIONS, THUS ENABLING THE SYSTEM TO DETECT A MULTITUDE OF FEATURES; PARAMETRIC MATCHING INSTEAD OF POINT-POINT MATCHING WHICH MAKES THE SYSTEM ROBUST AND THE TOP-DOWN-BOTTOM-UP STRATEGY WHICH COMBINES EFFICIENCY WITH ROBUSTNESS.
    URI: http://www.sme.org/
    http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/46326
    Appears in Collections:[工業工程與工程管理學系] 會議論文

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