Rotation invariant visual processing for spatial memory in insects

Author:

Stone Thomas1ORCID,Mangan Michael2ORCID,Wystrach Antoine3ORCID,Webb Barbara1ORCID

Affiliation:

1. School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK

2. Sheffield Robotics, Department of Computer Science, University of Sheffield, Regent Court, Sheffield S1 4DP, UK

3. CNRS, Université Paul Sabatier, Toulouse, 31062 cedex 09, France

Abstract

Visual memory is crucial to navigation in many animals, including insects. Here, we focus on the problem of visual homing, that is, using comparison of the view at a current location with a view stored at the home location to control movement towards home by a novel shortcut. Insects show several visual specializations that appear advantageous for this task, including almost panoramic field of view and ultraviolet light sensitivity, which enhances the salience of the skyline. We discuss several proposals for subsequent processing of the image to obtain the required motion information, focusing on how each might deal with the problem of yaw rotation of the current view relative to the home view. Possible solutions include tagging of views with information from the celestial compass system, using multiple views pointing towards home, or rotation invariant encoding of the view. We illustrate briefly how a well-known shape description method from computer vision, Zernike moments, could provide a compact and rotation invariant representation of sky shapes to enhance visual homing. We discuss the biological plausibility of this solution, and also a fourth strategy, based on observed behaviour of insects, that involves transfer of information from visual memory matching to the compass system.

Funder

Biotechnology and Biological Sciences Research Council

Engineering and Physical Sciences Research Council

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

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