論文

査読有り
2017年9月

Detection of Defective Regions in 3D Reconstruction to Support Image Acquisition

SICE Journal of Control, Measurement, and System Integration
  • Seiya Ito
  • ,
  • Naoshi Kaneko
  • ,
  • Takeshi Yoshida

10
5
開始ページ
402
終了ページ
409
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.9746/jcmsi.10.402
出版者・発行元
公益社団法人 計測自動制御学会

To successfully reconstruct a three-dimensional (3D) model from images, it is necessary to make the user aware of whether sufficient data has been obtained. We propose a novel approach to detect defective regions in 3D reconstruction during image acquisition. Our method uses line-based segmentation to segment the acquired images into structural and non-structural regions. Then, using the 3D structures derived from these images, defects detected in the structural region are used to suppress spurious artifacts. Visualization of a defective region in a newly acquired image allows the user to comprehend the reconstruction state and adjust image acquisition. The proposed method was experimentally demonstrated to work successfully in a range of outdoor environments.

リンク情報
DOI
https://doi.org/10.9746/jcmsi.10.402
CiNii Articles
http://ci.nii.ac.jp/naid/130006094542
ID情報
  • DOI : 10.9746/jcmsi.10.402
  • CiNii Articles ID : 130006094542

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