Skip to main content

Using digital images to reconstruct three-dimensional biological forms: a new tool for morphological studies

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

We examined two image-based methods, photogrammetry and stereo vision, used for reconstructing the three-dimensional form of biological organisms under field conditions. We also developed and tested a third ‘hybrid’ method, which combines the other two techniques. We tested these three methodologies using two different cameras to obtain digital images of museum and field sampled specimens of giant tortoises. Both the precision and repeatability of the methods were assessed statistically on the same specimens by comparing geodesic and Euclidean measurements made on the digital models with linear measurements obtained with caliper and flexible tape. We found no substantial difference between the three methods in measuring the Euclidean distance between landmarks, but spatially denser models (stereo vision and ‘hybrid’) were more accurate for geodesic distances. The use of different digital cameras did not influence the results. Image-based methods require only inexpensive instruments and appropriate software, and allow reconstruction of the three-dimensional forms (including their curved surfaces) of organisms sampled in the field. © 2008 The Linnean Society of London, Biological Journal of the Linnean Society, 2008, 95, 425–436.

Keywords: 3D reconstruction; computer vision; digital photography; photogrammetry; stereo vision; tortoise

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1095-8312.2008.01055.x

Affiliations: 1: Department of Computer Science, Yale University, PO Box 208285, New Haven, CT 06520-8285, USA 2: Department of Ecology and Evolutionary Biology and YIBS-Molecular Systematics and Conservation Genetics Laboratory, Yale University, 21 Sachem Street, New Haven, CT 06520-8106, USA

Publication date: 2008-10-01

  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more