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Summary: Photometric Surface Analysis in a Tri-Luminal Environment
Abstract
Methods for the analysis of images of the same scene
taken under three different lighting conditions are illus-
trated. A technique that separates the effects of geometry
and surface coloration/texture in this "tri-luminal" envi-
ronment is developed and experimental results are shown.
Exploiting this technique to isolate geometric information,
two methods which extract differential geometric proper-
ties of surfaces (the sign of Gaussian curvature and its
magnitude to within a multiplicative factor) directly from
tri-luminal photometric data are derived and demon-
strated.
1. Introduction
The use of multiple illumination conditions is perhaps
most familiar to the vision community through the work of
Woodham and others in the field of photometric stereo[9].
Multiple images of the same scene taken under three dif-
ferent illumination conditions provide rich information
about objects in a scene. For this investigation, we are
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