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首页> 外文期刊>Robotics and Computer-Integrated Manufacturing >The research of an automatic object reconstruction method based on limit visible region of the laser-scanning vision system
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The research of an automatic object reconstruction method based on limit visible region of the laser-scanning vision system

机译:基于激光扫描视觉系统极限可见区域的自动物体重建方法研究

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摘要

This paper presents an automatic multi-view selection approach for 3D reconstruction by means of a laser scanning vision system. It is realized based on the visual region of the laser scanning vision system. The candidate next best view (NBV) position is obtained by computing the unknown space area according to the limit visual region of the vision system. The final NBV position, which can acquire the maximal visual area, is obtained by comparing the above candidate's view positions. Experimental results show successful implantation of the proposed view planning method for digitization and reconstruction of freeform objects.
机译:本文提出了一种通过激光扫描视觉系统进行3D重建的自动多视图选择方法。它是基于激光扫描视觉系统的视觉区域实现的。通过根据视觉系统的极限视觉区域计算未知空间区域,可以获得候选的下一最佳视图(NBV)位置。通过比较上述候选者的观看位置,可以获得可以获取最大视觉区域的最终NBV位置。实验结果表明,所提出的视图规划方法已成功植入,用于数字化和重构自由形式的对象。

著录项

  • 来源
    《Robotics and Computer-Integrated Manufacturing》 |2010年第6期|p.711-719|共9页
  • 作者

    B.W. He; Zhou Xiao Long; Y.F. Li;

  • 作者单位

    School of Mechanical Engineering, Fuzhou University, Fuzhou, China,State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, China;

    School of Mechanical Engineering, Fuzhou University, Fuzhou, China;

    School of Mechanical Engineering, Fuzhou University, Fuzhou, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    vision system; sensor planning; 3D reconstruction; next best view;

    机译:视觉系统传感器计划;3D重建;下一个最佳视图;

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