• DocumentCode
    3467213
  • Title

    Virtual 3D Models of Insects for Accelerated Quarantine Control

  • Author

    Chuong Nguyen ; Lovell, David ; Oberprieler, Rolf ; Jennings, Debbie ; Adcock, Matt ; Gates-Stuart, Eleanor ; La Salle, John

  • Author_Institution
    Comput. Inf., CSIRO, Canberra, ACT, Australia
  • fYear
    2013
  • fDate
    2-8 Dec. 2013
  • Firstpage
    161
  • Lastpage
    167
  • Abstract
    We learn from the past that invasive species have caused tremendous damage to native species and serious disruption to agricultural industries. It is crucial for us to prevent this in the future. The first step of this process is to identify correctly an invasive species from native ones. Current identification methods, relying on mainly 2D images, can result in low accuracy and be time consuming. Such methods provide little help to a quarantine officer who has time constraints to response when on duty. To deal with this problem, we propose new solutions using 3D virtual models of insects. We explain how working with insects in the 3D domain can be much better than the 2D domain. We also describe how to create true-color 3D models of insects using an image-based 3D reconstruction method. This method is ideal for quarantine control and inspection tasks that involve the verification of a physical specimen against known invasive species. Finally we show that these insect models provide valuable material for other applications such as research, education, arts and entertainment.
  • Keywords
    agriculture; image reconstruction; pest control; solid modelling; virtual reality; 2D images; accelerated quarantine control; agricultural industries; image-based 3D reconstruction; insects; virtual 3D models; Australia; Cameras; Insects; Lenses; Software; Solid modeling; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICCVW.2013.27
  • Filename
    6755892