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작물의 저해상도 이미지에 대한 3차원 복원에 관한 연구

Study on Three-dimension Reconstruction to Low Resolution Image of Crops

  • 오장석 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 홍형길 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 윤해룡 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 조용준 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 우성용 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 송수환 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 서갑호 (한국로봇융합연구원 스마트커넥티드연구센터) ;
  • 김대희 (한국로봇융합연구원 스마트커넥티드연구센터)
  • Oh, Jang-Seok (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Hong, Hyung-Gil (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Yun, Hae-Yong (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Cho, Yong-Jun (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Woo, Seong-Yong (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Song, Su-Hwan (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Seo, Kap-Ho (Smart Connected Research Center, Korea Institute of Robot Convergence) ;
  • Kim, Dae-Hee (Smart Connected Research Center, Korea Institute of Robot Convergence)
  • 투고 : 2019.07.12
  • 심사 : 2019.08.04
  • 발행 : 2019.08.31

초록

A more accurate method of feature point extraction and matching for three-dimensional reconstruction using low-resolution images of crops is proposed herein. This method is important in basic computer vision. In addition to three-dimensional reconstruction from exact matching, map-making and camera location information such as simultaneous localization and mapping can be calculated. The results of this study suggest applicable methods for low-resolution images that produce accurate results. This is expected to contribute to a system that measures crop growth condition.

키워드

참고문헌

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