Share Email Print

Proceedings Paper

Spectro-polarimetric imager for intelligent transportation systems
Author(s): Daniel F. Huber; Louis J. Denes; Martial Hebert; Milton S. Gottlieb; Boris Kaminsky; Peter Metes
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We have built a portable spectro-polarimetric machine vision system that operates at video frame rates. Our system contains only electronically controllable components, including an imaging acousto-optic tunable filter (AOTF), a phase retarder, acceptance and imaging optics, and a standard CCD-based camera. The device operates like an ordinary camera, except that a computer controls the spectral and polarization content of light to be viewed. For example, by sweeping the wavelength over the AOTF's range, one can obtain a spectral signature for each pixel in an image. Alternately, the camera can switch between two wavelengths, allowing for high-speed discrimination of closely matched colors in a scene. In addition to digitally controlling the wavelength, our imager uses a liquid crystal retarder to filter images based on polarization signatures of objects. We have implemented a number of algorithms to take advantage of the unique capabilities of our sensor, some of which can be applied to problems specific to transportation systems. We present two image processing applications that highlight the different methods we use to analyze scenes with our system. One application uses spectral processing to locate vegetation in a scene; the second uses polarization signatures to detect glare from hazardous road conditions such as water and ice.

Paper Details

Date Published: 27 January 1998
PDF: 9 pages
Proc. SPIE 3207, Intelligent Transportation Systems, (27 January 1998); doi: 10.1117/12.300844
Show Author Affiliations
Daniel F. Huber, Carnegie Mellon Univ. (United States)
Louis J. Denes, Carnegie Mellon Univ. (United States)
Martial Hebert, Carnegie Mellon Univ. (United States)
Milton S. Gottlieb, Carnegie Mellon Univ. (United States)
Boris Kaminsky, Carnegie Mellon Univ. (United States)
Peter Metes, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 3207:
Intelligent Transportation Systems
Marten J. de Vries; Pushkin Kachroo; Kaan Ozbay; Alan C. Chachich, Editor(s)

© SPIE. Terms of Use
Back to Top