Data Fusion in Shape From Shading Algorithms

  • James J. Clark
  • Alan L. Yuille
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 105)

Abstract

The vision process that we examine in this chapter is that of obtaining object shape from information about the specular and Lambertian components of the light reflected off of the object. We demonstrate the application of two different forms of weakly coupled fusion to the problem of estimating object shape from shading information. The first example is of an algebraic approach, while the second involves an energy function or Bayesian approach. We follow this description of the weakly coupled methods with an illustration of how we can convert the weakly coupled fusion algorithms into a strongly coupled fusion algorithm.

Keywords

Minimal Surface Data Fusion Image Component Smoothness Constraint Smoothness Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • James J. Clark
    • 1
  • Alan L. Yuille
    • 1
  1. 1.Division of Applied SciencesHarvard UniversityCambridgeUSA

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