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Recovering Reflectance and Illumination in a World of Painted Polyhedra Pawan Sinha1 & Edward Adelson2
 

Summary: 156
Recovering Reflectance and Illumination in a World of Painted Polyhedra
Pawan Sinha1 & Edward Adelson2
1NE43-809, Artificial Intelligence Laboratory
2Department of Brain and Cognitive Science
1,2Vision & Modeling Group, Media Laboratory
Massachusetts Institute of Technology
Cambridge, MA 02139, USA
To be immune to variations in illumination, a vision
system needs to be able to decompose images into their
illumination and surface reflectance components. Although
this problem is greatly underconstrained, the human visual
system is able to solve it in diverse situations. Most
computational studies thus far have been concerned with
strategies for solving the problem in the restricted domain
of 2-D Mondrians. This domain has the simplifying
characteristic of permitting discontinuities only in the
reflectance distribution while the illumination distribution
is constrained to vary smoothly. Such approaches prove
inadequate in a 3-D world of painted polyhedra which

  

Source: Adelson, Edward - Computer Science and Artificial Intelligence Laboratory, Department of Brain and Cognitive Science, Massachusetts Institute of Technology (MIT)
Sinha, Pawan - Department of Brain and Cognitive Science, Massachusetts Institute of Technology (MIT)

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences