淡江大學機構典藏:Item 987654321/109800
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    题名: 6-DOF Object Posture Estimation Based on a 3D Hough Voting Algorithm
    作者: Tsai, Chi-Yi;Huang, Chih-Hung;Tsai, Shu-Hsiang
    日期: 2015-11-18
    上传时间: 2017-03-07 02:12:16 (UTC+8)
    摘要: 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.
    關聯: Proceedings of The 2015 International Automatic Control Conference (CACS2015)
    显示于类别:[電機工程學系暨研究所] 會議論文

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