Chuong V. Nguyen; David R. Lovell; Matt Adcock; John La Salle

Summary

Chuong V. Nguyen; David R. Lovell; Matt Adcock; John La Salle Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics…

Abstract Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity—past, present and future. This paper presents a system for liberating useful information from physical collections by bringing specimens into the digital domain so they can be more readily shared, analyzed, annotated and compared. It focuses on insects and is strongly motivated by the desire to accelerate and augment current practices in insect taxonomy which predominantly use text, 2D diagrams and images to describe and characterize species.
Source: Wikisource

Chuong V. Nguyen; David R. Lovell; Matt Adcock; John La Salle Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics…

Human-in-the-loop approaches have been proposed for insect modeling [15] as have methods (limited to simple insect geometries) for inferring 3D insect shape from a single 2D image [16] . Experiments [17] , [18] with laser scanning systems like [19] have suggested that this approach has difficulties with the fine structures and the small scale of many insects, as well as reflective, transparent or iridescent surfaces.
One way to avoid these difficulties is to steer clear of 3D reconstruction altogether and simply present 2D images obtained from different viewing angles [20] .
Source: Wikisource

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