Recently, polarization vision has been shown to simplify some importan
t image understanding tasks that can be more difficult to perform with
intensity vision alone. This, together with the more general capabili
ties of polarization vision for image understanding, motivates the sen
sors that automatically sense and information. Described in this paper
are a variety of designs for polarization camera sensors that have be
en built to automatically sense partial linearly polarized light, and
computationally process this sensed polarization information at pixel
resolution to produce a visualization of reflected polarization from a
scene, and/or a visualization of physical information in a scene dire
ctly related to sensed polarization. The three designs for polarizatio
n camera sensors presented utilize (i) serial acquisition of polarizat
ion components using liquid crystals, (ii) parallel acquisition of pol
arization components using a stereo pair of cameras and a polarizing b
eamsplitter, and (iii) a prototype photosensing chip with three scanli
nes, each scanline coated with a particular orientation of polarizing
material. As the sensory input to polarization camera sensors subsumes
that of standard intensity cameras, they can potentially significantl
y expand the application potential of computer vision. A number of ima
ges taken with polarization cameras are presented, showing potential a
pplications to image understanding, object recognition, circuit board
inspection and marine biology.