Polarization and Photometric Methods in Machine Vision.
Abstract
Described in this report are designs for polarization camera sensors that have been built to automatically sense partially 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 directly related to sensed polarization. The research performed on polarization-based methods in computer and machine vision provides a new powerful medium for object feature extraction with tremendous versatility and a broad range of applications. The fundamental principles behind these polarization methods developed under this effort are easy to implement with the simple addition of a linear polarizing filter to a standard off the shelf camera sensor. We present a fully automatic polarization camera using liquid crystal technology. Not only are polarization-based feature extraction methods passive, but they require little prior knowledge about the world environment. This makes polarization-based methods applicable beyond just the controlled environments of machine vision.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1996
- Accession Number
- ADA321362
Entities
People
- Lawrence B. Wolff
Organizations
- Johns Hopkins University