2002
DOI: 10.1109/jsen.2003.807946
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Polarization imaging: principles and integrated polarimeters

Abstract: Polarization is a general descriptor of light and contains information about reflecting objects that traditional intensity-based sensors ignore. Difficult computer vision tasks such as image segmentation and object orientation are made tractable with polarization vision techniques. Specularities, occluding contours, and material properties can be readily extracted if the Stokes polarization parameters are available. Astrophysicists employ polarization information to measure the spatial distribution of magnetic… Show more

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Cited by 189 publications
(111 citation statements)
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“…However, polarization offers a number of advantages for imaging [22][23][24]. Polarization filtering has long been used in photography through haze.…”
Section: Introductionmentioning
confidence: 99%
“…However, polarization offers a number of advantages for imaging [22][23][24]. Polarization filtering has long been used in photography through haze.…”
Section: Introductionmentioning
confidence: 99%
“…This sensory system integrates an array of imaging elements, a micro-polarization array and analog processing circuitry for polarimetric computation at the focal plane in order to achieve a compact, low power polarization sensitive system. Biologically inspired, polarization difference (contrast) imaging (PDI) sensors have been one of the dominant research topics in developing polarization sensitive systems [4][5][6]. Several imaging systems have been made where polarization-contrast information has been computed at the focal plane [4,5] or with bulky, power hungry set-ups composed of CMOS/CCD imaging sensors, electro/mechanically controlled polarization filters and DSPs/CPUs [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Biologically inspired, polarization difference (contrast) imaging (PDI) sensors have been one of the dominant research topics in developing polarization sensitive systems [4][5][6]. Several imaging systems have been made where polarization-contrast information has been computed at the focal plane [4,5] or with bulky, power hungry set-ups composed of CMOS/CCD imaging sensors, electro/mechanically controlled polarization filters and DSPs/CPUs [6,7]. These systems sample the environment via two orthogonal polarization filters and compute contrast information at the focal plane with translinear circuits or in the digital domain with a DSP/CPU.…”
Section: Introductionmentioning
confidence: 99%
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“…This information is extracted by either temporally sampling two images filtered with two orthogonal polarized filters [4][5] [7] or integrating two orthogonal polarized filters over two neighboring photo elements [6]. The contrast extraction information is computed either on a DSP/CPU or at the focal plane with translinear circuits.…”
Section: Introductionmentioning
confidence: 99%