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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109800

    Title: 6-DOF Object Posture Estimation Based on a 3D Hough Voting Algorithm
    Authors: Tsai, Chi-Yi;Huang, Chih-Hung;Tsai, Shu-Hsiang
    Date: 2015-11-18
    Issue Date: 2017-03-07 02:12:16 (UTC+8)
    Abstract: This paper addresses the design of a model-based 3D object pose estimation algorithm, which is one of the major techniques to develop a robust visual tracking system. The proposed algorithm first extracts line features of a captured image by using edge detection and Hough transform techniques. Given a CAD model of the object-of-interest, the 3D pose of the object can then be estimated through a nonlinear model fitting process.
    Relation: Proceedings of The 2015 International Automatic Control Conference (CACS2015)
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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