Previous Article in Journal
Fabrication of Mechanically Stable Superhydrophobic Aluminium Surface with Excellent Self-Cleaning and Anti-Fogging Properties
Article Menu

Export Article

Open AccessArticle
Biomimetics 2017, 2(1), 3; doi:10.3390/biomimetics2010003

A Note on the Depth-from-Defocus Mechanism of Jumping Spiders

1
Bernstein Center for Computational Neuroscience Berlin, Unter den Linden 6, 10099 Berlin, Germany
2
Robotics Innovation Center, German Research Center for Artificial Intelligence, 28359 Bremen, Germany
3
Advanced Concepts Team, European Space Agency, 2200AG Noordwijk, The Netherlands
4
Adaptive Systems Group, Department of Computer Science, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
5
Polymer Chemistry & Biomaterials Research Group, Department of Organic and Macromolecular Chemistry, Ghent University, Krijgslaan 281 S4Bis, B-9000 Ghent, Belgium
*
Author to whom correspondence should be addressed.
Academic Editor: Josep Samitier
Received: 31 January 2017 / Revised: 27 February 2017 / Accepted: 6 March 2017 / Published: 14 March 2017
View Full-Text   |   Download PDF [10517 KB, uploaded 15 March 2017]   |  

Abstract

Jumping spiders are capable of estimating the distance to their prey relying only on the information from one of their main eyes. Recently, it has been shown that jumping spiders perform this estimation based on image defocus cues. In order to gain insight into the mechanisms involved in this blur-to-distance mapping as performed by the spider and to judge whether inspirations can be drawn from spider vision for depth-from-defocus computer vision algorithms, we constructed a three-dimensional (3D) model of the anterior median eye of the Metaphidippus aeneolus, a well studied species of jumping spider. We were able to study images of the environment as the spider would see them and to measure the performances of a well known depth-from-defocus algorithm on this dataset. We found that the algorithm performs best when using images that are averaged over the considerable thickness of the spider’s receptor layers, thus pointing towards a possible functional role of the receptor thickness for the spider’s depth estimation capabilities. View Full-Text
Keywords: depth estimation; depth-from-defocus; computer vision; spider vision; spider eye depth estimation; depth-from-defocus; computer vision; spider vision; spider eye
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Nolte, A.; Hennes, D.; Izzo, D.; Blum, C.; Hafner, V.V.; Gheysens, T. A Note on the Depth-from-Defocus Mechanism of Jumping Spiders. Biomimetics 2017, 2, 3.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biomimetics EISSN 2313-7673 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top