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Specular Highlight Detection Based on the Fresnel Reflection Coefficient Elli Angelopoulou
 

Summary: Specular Highlight Detection Based on the Fresnel Reflection Coefficient
Elli Angelopoulou
University of Erlangen-Nuremberg
Erlangen, Germany
elli@i5.informatik.uni-erlangen.de
http://www5.uni-erlangen.de/~elli
Abstract
Reliable specularity detection can affect the accuracy of
further image analysis. The majority of specularity detec-
tion algorithms are based on the chromaticity of the regions
of specular highlights. They assume that the color of spec-
ular highlights of dielectrics is approximately the color of
the incident light. We will show how this assumption is in-
accurate especially in multispectral images. We propose a
new, physics-based specularity detection method, which de-
pends on the Fresnel term of the specular highlight, instead
of assumptions on chromaticity space. We compute at each
pixel an approximation to the Fresnel term at various wave-
lengths. We then use mean-shift analysis to segment the im-
age based on the Fresnel information. Our experiments with

  

Source: Angelopoulou, Elli - Department of Computer Science, Friedrich Alexander University Erlangen Nürnberg

 

Collections: Computer Technologies and Information Sciences