Methods are presented for designing and estimating the performance of
artificial apposition compound eye optical sensors. Apposition compoun
d eyes have been investigated for a wide range of applications from ro
botics to smart weapons. While artificial apposition compound eyes hav
e been constructed and demonstrated, optical design issues and perform
ance prediction for these systems have never been adequately addressed
in the literature. Apposition compound eyes are a useful paradigm for
applications where wide field of view is critical but high spatial re
solution is not required. Natural arthropod compound eyes and their bi
ological models are first scrutinized to give insight into designing a
nd modeling artificial apposition compound eye optical sensors. Such s
ensors are shown to have comparable sensitivity to traditional single-
aperture sensors for extended sources. A method for enhancing resoluti
on over the extended-source case is demonstrated for single point sour
ces. For the first time, the frequency response of an artificial appos
ition compound eye is addressed while taking into account the differen
ces between artificial and natural ommatidia. Both a numerical integra
tion technique for determining the contrast transfer function and a Fo
urier-transform modulation-transfer-function method are presented and
validated with experimental results.