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A Curvature Based Descriptor Invariant to Pose and Albedo Derived from Photometric Data
 

Summary: A Curvature Based Descriptor Invariant to Pose and Albedo
Derived from Photometric Data
Elli Angelopoulou, James P. Williams and Lawrence B. Wolff
Computer Vision Laboratory
Department of Computer Science
The Johns Hopkins University
Baltimore, MD 21218
{angelop, jimbo, wolff}@cs.jhu.edu
Abstract
Gaussian curvature is an invariant local descriptor of
smooth surfaces. We present an object signature which is a
condensed representation of the distribution of Gaussian
curvature information at visible object points. An invariant
related to Gaussian curvature at a point is derived from
the covariance matrix of the photometric values in a
neighborhood about that point. In addition, we introduce
an albedo-normalization method that is capable of cancel-
ling albedo on Lambertian surfaces.
We use three illumination conditions, two of which are
unknown. The three-tuple of intensity values at a point is

  

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

 

Collections: Computer Technologies and Information Sciences