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Object identification with surface signatures

  • Adnan A. Y. Mustafa
  • Linda G. Shapiro
  • Mark A. Ganter
Object Recognition and Tracking
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1296)

Abstract

In this paper we describe a model-based object identification system. Given a set of 3D objects and a scene containing one or more of these objects, the system identifies which objects appear in the scene by matching surface signatures. Surface signatures are statistical features which are uniform for a uniform surface. Two types of surfaces are employed; curvature signatures and spectral signatures. Furthermore, the system employs an inexpensive acquisition setup consisting of a single CCD camera and two light sources. The system has been tested on 95 observed-surfaces and 77 objects of varying degrees of curvature and color with good results.

Keywords

Spectral Signature Image Scene Elliptical Cylinder Surface Signature Curvature Signature 
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-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Adnan A. Y. Mustafa
    • 1
  • Linda G. Shapiro
    • 2
  • Mark A. Ganter
    • 3
  1. 1.Dept. of Mechanical and Industrial EngineeringKuwait UniversitySafat
  2. 2.Dept. of Computer Science and EngineeringUniversity of WashingtonSeattleUSA
  3. 3.Dept. of Mechanical EngineeringUniversity of WashingtonSeattleUSA

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