A View Planning Method for Automatic 3D Modeling based on the Trend Surface and Limit Region

被引：0
作者：
He, Bingwei [1 ]
Zhou, Xiaolong [1 ]
Li, Y. F. [2 ]
机构：
[1] Fuzhou Univ, Sch Mech Engn, Dept Mechatron Engn, Fuzhou 350002, Fujian Province, Peoples R China
[2] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Peoples R China
来源：
I2MTC: 2009 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3 | 2009年
基金：
中国国家自然科学基金;
关键词：
View Planning; Sensor planning; 3D modling; Next best view;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
In this paper, a new view planning algorithm of generating 3-D models automatically is presented. It is realized based on the trend surface of the visual field and limit visual region of the vision system. The candidate next best view (NBV) position is obtained by computing the unknown space area according to the trend surface of the acquired the object surface information and limit region of the vision system between viewing points. The final NBV position, which acquired maximum the unknown space area, is got by comparing the above candidate view position.
引用
收藏
页码：779 / +
页数：3
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  • [32] Sensor planning method for visual tracking in 3D camera networks
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    [J]. JournalofSystemsEngineeringandElectronics, 2014, 25 (06) : 1107 - 1116
  • [33] Sensor planning method for visual tracking in 3D camera networks
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    Chen, Xin
    [J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2014, 25 (06) : 1107 - 1116
  • [34] Next Best View Planning via Reinforcement Learning for Scanning of Arbitrary 3D Shapes
    Potapova, S. G.
    Artemov, A. V.
    Sviridov, S. V.
    Musatkina, D. A.
    Zorin, D. N.
    Burnaev, E. V.
    [J]. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 2020, 65 (12) : 1484 - 1490
  • [35] Next best view planning for building a 3D model of objects from color images
    Zarn, Kristian
    Skocaj, Danijel
    [J]. ELEKTROTEHNISKI VESTNIK, 2020, 87 (03): : 75 - 86
  • [36] Next Best View Planning via Reinforcement Learning for Scanning of Arbitrary 3D Shapes
    S. G. Potapova
    A. V. Artemov
    S. V. Sviridov
    D. A. Musatkina
    D. N. Zorin
    E. V. Burnaev
    [J]. Journal of Communications Technology and Electronics, 2020, 65 : 1484 - 1490
  • [37] Model based view planning for the robot-guided automation of optical 3D digitization based on a variable mesh resolution processing approach
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    Sauerbier, Christoph
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    Schmitt, Robert H.
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  • [38] 3-D modeling from range imagery: An incremental method with a planning component
    Reed, MK
    Allen, PK
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  • [39] Semiautomatic Model-Based View Planning for Active Triangulation 3-D Inspection Systems
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  • [40] Modified 2-1/2-D Visual Servo-based Determination of Next Best Views in Automatic 3D Reconstruction
    Zhang, L.
    Zuo, J. Q.
    Huang, L. P.
    Zhang, X. G.
    Shuai, L. G.
    Xi, G. N.
    [J]. INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL AND ELECTRICAL ENGINEERING (AMEE 2015), 2015, : 466 - 474
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