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 …

A computationally simple yet powerful method for distinguishing metal and dielectric
material surfaces from the polarization characteristics of specularly reflected light is …

Overviewed are recent results of a new general approach to image understanding and
computer vision utilizing the sensing of polarization of light. Whereas human vision is …

We present a computational model and algorithm for detecting diffuse and specular interface
reflections and some inter-reflections. Our color reflection model is based on the dichromatic …

Algorithms for scene understanding and realistic image synthesis require accurate models
of the way real-world materials scatter light. This study describes recent work in the graphics …

A reflectance model that accurately predicts diffuse reflection from smooth inhomogeneous
dielectric surfaces as a function of both viewing angle and angle of incidence is proposed …

Recently, polarization vision has been shown to simplify some important image
understanding tasks that can be more difficult to perform with intensity vision alone. This …

A robust and accurate polarization phase-based technique for material classification is
presented. The novelty of this technique is three-fold in (i) its theoretical development,(ii) …

A fully automated system that utilizes two CCD cameras and a polarizing beam splitter to
create a polarization camera capable of sensing the polarization of reflected light from …