2017年9月
Detection of Defective Regions in 3D Reconstruction to Support Image Acquisition
SICE Journal of Control, Measurement, and System Integration
- ,
- ,
- 巻
- 10
- 号
- 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
- ID情報
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- DOI : 10.9746/jcmsi.10.402
- CiNii Articles ID : 130006094542