IEEE Computer Graphics and Applications
Neural mapping and space-variant image processing
Neural Networks
The computational hoverfly; a study in computational neuroethology
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Visual control of altitude and speed in a flying agent
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Learning View Graphs for Robot Navigation
Autonomous Robots - Special issue on autonomous agents
Insect Inspired Visual Control of Translatory Flight
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Acquisition of translational motion by the parallel trinocular
Information Sciences: an International Journal
Servo tracking of three-dimensional motion by the parallel trinocular
WSEAS Transactions on Systems and Control
Variational analysis of spherical images
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Optical flow computation for compound eyes: variational analysis of omni-directional views
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
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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.