BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-86-1139
       ENTRY:: May 01, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: Local Shape from Specularity
        TYPE:: Technical Report
      AUTHOR:: Healey, Glenn
      AUTHOR:: Binford, Thomas O.
        DATE:: June 1986
       PAGES:: 32
    ABSTRACT:: We show that highlights in images of objects with specularly
               reflecting surfaces provide significant information about the
               surfaces which generate them. A brief survey is given of
               specular reflectance models which have been used in computer
               vision and graphics. For our work, we adopt the
               Torrance-Sparrow specular model which, unlike most previous
               models, considers the underlying physics of specular
               reflection from rough surfaces. From this model we derive
               powerful relationships between the properties of a specular
               feature in an image and local properties of the corresponding
               surface. We show how this analysis can be used for both
               prediction and interpretation in a vision system. A shape
               from specularity system has been implemented to test our
               approach. The performance of the system is demonstrated by
               careful experiments with specularly reflecting objects.
       NOTES:: [Adminitrivia V1/Prg/19950501]
         END:: STAN//CS-TR-86-1139