Color constancy is the skill by which it is possible to tell the color of an object even under a
colored light. I interpret the color of an object as its color under a fixed canonical light, rather …

A growing trend in computer vision has been the use of physical reflectance models,
predicting reflected radiant intensity and color, to obtain constraints on object features. Until …

In this paper, we present an approach to color image understanding that can be used to
segment and analyze surfaces with color variations due to highlights and shading. The work …

Simple constraints on the sets of possible surface reflectance and illuminants are exploited
in a new color constancy algorithm that builds upon Forsyth's (1990) theory of color …

We present a fully automated system which unites CCD camera technology with liquid
crystal technology to create a polarization camera capable of sensing the partial linear …

This paper examines the information available from the motion of specularities (highlights)
due to known movements by the viewer. In particular two new results are presented. First, it …

Inhomogeneous dielectric surfaces exhibit both diffuse and specular reflection components.
Although various reflection models have been proposed for both of these components, the …

This monograph is devoted to the problem of inferring geometric information about arbitrarily
curved surfaces from visual cues; this is a central problem in computer vision with immediate …

Simple constraints on the sets of possible surface reflectances and illuminants are exploited
in a new color constancy algorithm that builds upon Forsyth's (1990) theory of color …

This thesis develops the fundamental tools for the use of reflected polarization as a new
sensory medium for obtaining feature constraints in machine and computer vision. Using …