論文

2022年9月14日

Verification for 3D Reconstruction of Stairs Using Artificial Image Data

Frontiers in Artificial Intelligence and Applications
  • Keita Nakamura
  • ,
  • Keita Baba
  • ,
  • Takuma Yoshikawa
  • ,
  • Toshihide Hanari
  • ,
  • Kuniaki Kawabata
  • ,
  • Taku Matsumoto

355
開始ページ
427
終了ページ
438
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.3233/FAIA220272

It is generally difficult to measure complex shapes such as stairs with high accuracy for indoor environment scanning by the robot. Therefore, we consider the three-dimensional (3D) reconstruction of stairs using Structure from Motion (SfM) and Multi-View Stereo (MVS) which perform 3D reconstruction from images acquired by the robot vision. In this study, we verify whether it is possible to acquire a 3D reconstruction result of stairs by using images shot while ascending and descending the stairs as input to the reconstruction method. To calculate the accuracy of the reconstruction result, we use 3D computer graphics software to generate artificial image data to be applied to the 3D reconstruction. Experimental results show that 3D reconstruction results of the stairs are more accurate by applying both images shot when ascending and descending stairs to the 3D reconstruction methods.

リンク情報
DOI
https://doi.org/10.3233/FAIA220272
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139755608&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85139755608&origin=inward
ID情報
  • DOI : 10.3233/FAIA220272
  • ISSN : 0922-6389
  • ISBN : 9781643683164
  • SCOPUS ID : 85139755608

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