論文

査読有り
2019年10月

Pro-cam SSfM: Projector-camera system for structure and spectral reflectance from motion

IEEE International Conference on Computer Vision (ICCV)
  • Chunyu Li
  • ,
  • Yusuke Monno
  • ,
  • Hironori Hidaka
  • ,
  • Masatoshi Okutomi

開始ページ
2414
終了ページ
2423
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICCV.2019.00250
出版者・発行元
IEEE COMPUTER SOC

© 2019 IEEE. In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflectance property. In our system, we use a standard RGB camera and leverage an off-the-shelf projector as active illumination for both the 3D reconstruction and the spectral reflectance estimation. We first reconstruct the 3D points while estimating the poses of the camera and the projector, which are alternately moved around the object, by combining multi-view structured light and structure-from-motion (SfM) techniques. We then exploit the projector for multispectral imaging and estimate the spectral reflectance of each 3D point based on a novel spectral reflectance estimation model considering the geometric relationship between the reconstructed 3D points and the estimated projector positions. Experimental results on several real objects demonstrate that our system can precisely acquire a dense 3D model with the full spectral reflectance property using off-the-shelf devices.

リンク情報
DOI
https://doi.org/10.1109/ICCV.2019.00250
DBLP
https://dblp.uni-trier.de/rec/conf/iccv/LiMHO19
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000531438102055&DestApp=WOS_CPL
URL
https://dblp.uni-trier.de/conf/iccv/2019
URL
https://dblp.uni-trier.de/db/conf/iccv/iccv2019.html#LiMHO19
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081905252&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85081905252&origin=inward
ID情報
  • DOI : 10.1109/ICCV.2019.00250
  • ISSN : 1550-5499
  • DBLP ID : conf/iccv/LiMHO19
  • SCOPUS ID : 85081905252
  • Web of Science ID : WOS:000531438102055

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