Summary: Polarization images: a geometric interpretation for shape analysis
Stefan Rahmann
Institute for Pattern Recognition and Image Processing
Computer Science Department, University of Freiburg
79110 Freiburg, Germany
rahmann@informatik.uni­freiburg.de
Abstract
This paper presents a framework for the geometric inter­
pretation of a single polarization image taken of specular
reflecting objects. The task of recovering 3D shape infor­
mation of specular objects from intensity images is a diffi­
cult if not impossible one, as no intensity based features are
available. Polarization analysis provides additional fea­
tures to overcome the problem. In particular the orienta­
tion of polarized light is measured, from which constraints
on the object surfaces can be deduced. We show how to
perform shape analysis from a single polarization image.
This new method is applied to local deformation measur­
ing. Along with a discussion of polarization and related ge­
ometric issues, algorithms are presented and substantiated

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

Collections: Computer Technologies and Information Sciences