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.
Original language | English |
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Title of host publication | Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013 |
Place of Publication | Sydney |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 161-167 |
Number of pages | 7 |
Volume | ICCVW2013 |
ISBN (Print) | 9781479930227 |
DOIs | |
Publication status | Published - 01 Jan 2013 |
Event | 2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia Duration: 01 Dec 2013 → 08 Dec 2013 |
Conference
Conference | 2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 |
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Country/Territory | Australia |
City | Sydney, NSW |
Period | 01/12/13 → 08/12/13 |