English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 58323/91876 (63%)
造访人次 : 14057656      在线人数 : 104
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115791

    题名: Indoor Scene Point Cloud Registration Algorithm Based on RGB-D Camera Calibration
    作者: Tsai, Chi-Yi;Huang, Chih-Hung
    关键词: point cloud registration;point cloud alignment;indoor scene reconstruction;multi-view calibration;RGB-D mapping
    日期: 2017-08-15
    上传时间: 2019-02-21 12:10:35 (UTC+8)
    摘要: With the increasing popularity of RGB-depth (RGB-D) sensor, research on the use of RGB-D sensors to reconstruct three-dimensional (3D) indoor scenes has gained more and more attention. In this paper, an automatic point cloud registration algorithm is proposed to efficiently handle the task of 3D indoor scene reconstruction using pan-tilt platforms on a fixed position. The proposed algorithm aims to align multiple point clouds using extrinsic parameters of the RGB-D camera obtained from every preset pan-tilt control point. A computationally efficient global registration method is proposed based on transformation matrices formed by the offline calibrated extrinsic parameters. Then, a local registration method, which is an optional operation in the proposed algorithm, is employed to refine the preliminary alignment result. Experimental results validate the quality and computational efficiency of the proposed point cloud alignment algorithm by comparing it with two state-of-the-art methods.
    關聯: Sensors 17(8), 1874(19 pages)
    DOI: 10.3390/s17081874
    显示于类别:[電機工程學系暨研究所] 期刊論文


    档案 描述 大小格式浏览次数
    Indoor Scene Point Cloud Registration Algorithm Based on RGB-D Camera Calibration.pdf31444KbAdobe PDF0检视/开启



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈