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BEYOND TRICHROMATIC IMAGING ELLI ANGELOPOULOU
 

Summary: BEYOND TRICHROMATIC IMAGING
ELLI ANGELOPOULOU
Computer Science Department
Stevens Institute of Technology
Hoboken, NJ 07030, USA
An integral part of computer vision and graphics is modeling how a surface re
flects light. There is a substantial body of work on models describing surface reflectance
ranging from purely diffuse to purely specular. One of the advantages of diffuse reflectance
is that the color and the intensity of the reflected light are separable. For diffuse materials,
the objective color of the surface depends on the chromophores present in the material
and is described by its albedo. We will show that for diffuse reflectance, multispec
tral image analysis allows us to isolate the albedo of a surface. By computing the spectral
gradients, i.e. evaluating the partial derivatives with respect to wavelength at distinct
wavelengths, one can extract a quantity that is independent of the incident light and the
scene geometry. The extracted measurement is the partial derivative of the albedo with
respect to wavelength.
In specular highlights the color and the intensity of a specularity depend on both
the geometry and the index of refraction of the material, which in turn is a function
of wavelength. Though the vision and graphics communities often assume that for non-
conductive materials the color of the specularity is the color of the light source, we will

  

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

 

Collections: Computer Technologies and Information Sciences