Modeling Insect Compound Eyes: Space-Variant Spherical Vision
Insect compound eyes are highly optimized for the visual acquisition of behaviorally relevant information from the environment. Typical sampling and filtering properties include a spherical field of view, a singular viewpoint, low image resolution, overlapping Gaussian-shaped receptive fields, and a space-variant receptor distribution. I present an accurate and efficient compound eye simulation model capable of reconstructing an insect’s view of highly realistic virtual environments. The algorithm generates low resolution spherical images from multiple perspective views which can be produced at high frame rates by current computer graphics technology. The sensitivity distribution of each receptor unit is projected on the planar views to compensate for perspective distortions. Applications of this approach can be envisioned for both modeling visual information processing in insects and for the development of novel, biomimetic vision systems.
KeywordsRetinal Image Sensitivity Distribution Aperture Angle Acceptance Angle Receptor Unit
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- 3.Cliff, D.: The computational hoverfly: A study in computational neuroethology. In Meyer, J.A., Wilson, S.W., eds.: From Animals to Animats: Proceedings of the First International Conference on Simulation of Adaptive Behavior (SAB’90), Cambridge, MA, MIT Press Bradford Books (1991) 87–96Google Scholar
- 4.Giger, A.D.: B-EYE: The world through the eyes of a bee (http://cvs.anu.edu.au/andy/beye/beyehome.html). Centre for Visual Sciences, Australian National University (1995)
- 5.van Hateren, J.H.: Simulations of responses in the first neural layers during a flight (http://hlab.phys.rug.nl/demos/fly eye sim/index.html). Department of Neurobiophysics, University of Groningen (2001)
- 6.Tammero, L.F., Dickinson, M.H.: The influence of visual landscape on the free flight behavior of the fruit fly Drosophila melanogaster. Journal of Experimental Biology 205 (2002) 327–343Google Scholar
- 7.Mura, F., Franceschini, N.: Visual control of altitude and speed in a flying agent. In Cliff, D., Husbands, P., Meyer, J.A., Wilson, S.W., eds.: FromAnimals to Animats 3: Proceedings of the Third International Conference on Simulation of Adaptive Behavior (SAB’94), Cambridge, MA, MIT Press Bradford Books (1994) 91–99Google Scholar
- 11.Greene, N., Heckbert, P.S.: Creating raster Omnimax images from multiple perspective views using the elliptical weighted average filter. IEEE Computer Graphics and Applications 6 (1986) 21–27Google Scholar
- 12.Neumann, T.R., Bülthoff, H.H.: Behavior-oriented vision for biomimetic flight control. In: Proceedings of the International Workshop on Biologically-Inspired Robotics: The Legacy of W. GreyWalter. (2002) 196–203Google Scholar