Capturing natural-colour 3D models of insects for species discovery

09/07/2017
by   Chuong V. Nguyen, et al.
0

Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity. 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. While these traditional kinds of descriptions are informative and useful, they cannot cover insect specimens "from all angles" and precious specimens are still exchanged between researchers and collections for this reason. Furthermore, insects can be complex in structure and pose many challenges to computer vision systems. We present a new prototype for a practical, cost-effective system of off-the-shelf components to acquire natural-colour 3D models of insects from around 3mm to 30mm in length. Colour images are captured from different angles and focal depths using a digital single lens reflex (DSLR) camera rig and two-axis turntable. These 2D images are processed into 3D reconstructions using software based on a visual hull algorithm. The resulting models are compact (around 10 megabytes), afford excellent optical resolution, and can be readily embedded into documents and web pages, as well as viewed on mobile devices. The system is portable, safe, relatively affordable, and complements the sort of volumetric data that can be acquired by computed tomography. This system provides a new way to augment the description and documentation of insect species holotypes, reducing the need to handle or ship specimens. It opens up new opportunities to collect data for research, education, art, entertainment, biodiversity assessment and biosecurity control.

READ FULL TEXT

page 15

page 16

page 18

page 19

page 20

page 21

page 23

page 24

research
09/07/2017

Towards high-throughput 3D insect capture for species discovery and diagnostics

Digitisation of natural history collections not only preserves precious ...
research
10/24/2017

Wildbook: Crowdsourcing, computer vision, and data science for conservation

Photographs, taken by field scientists, tourists, automated cameras, and...
research
07/20/2017

The iNaturalist Challenge 2017 Dataset

Existing image classification datasets used in computer vision tend to h...
research
12/16/2016

Analyzing Web Archives Through Topic and Event Focused Sub-collections

Web archives capture the history of the Web and are therefore an importa...
research
03/02/2010

Text Region Extraction from Business Card Images for Mobile Devices

Designing a Business Card Reader (BCR) for mobile devices is a challenge...
research
11/28/2005

The use of the GARP genetic algorithm and internet grid computing in the Lifemapper world atlas of species biodiversity

Lifemapper (http://www.lifemapper.org) is a predictive electronic atlas ...
research
06/22/2012

Leaf vein segmentation using Odd Gabor filters and morphological operations

Leaf vein forms the basis of leaf characterization and classification. D...

Please sign up or login with your details

Forgot password? Click here to reset