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
Link To Document