  Over the last decades, honeybees have been a fascinating model to study
insect navigation. While there is some controversy about the complexity of
underlying neural correlates, the research of honeybee navigation makes
progress through both the analysis of flight behavior and the synthesis of
agent models. Since visual cues are believed to play a crucial role for the
behavioral output of a navigating bee we have developed a realistic
3-dimensional virtual world, in which simulated agents can be tested, or in
which the visual input of experimentally traced animals can be reconstructed.
In this paper we present implementation details on how we reconstructed a large
3-dimensional world from aerial imagery of one of our field sites, how the
distribution of ommatidia and their view geometry was modeled, and how the
system samples from the scene to obtain realistic bee views. This system is
made available as an open-source project to the community on
\url{http://github.com/bioroboticslab/bee_view}.
