English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 60926/93619 (65%)
造訪人次 : 1257368      線上人數 : 13
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/115791

    題名: Indoor Scene Point Cloud Registration Algorithm Based on RGB-D Camera Calibration
    作者: Tsai, Chi-Yi;Huang, Chih-Hung
    關鍵詞: point cloud registration;point cloud alignment;indoor scene reconstruction;multi-view calibration;RGB-D mapping
    日期: 2017-08-15
    上傳時間: 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
    顯示於類別:[電機工程學系暨研究所] 期刊論文


    檔案 描述 大小格式瀏覽次數
    Indoor Scene Point Cloud Registration Algorithm Based on RGB-D Camera Calibration.pdf31444KbAdobe PDF2檢視/開啟



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