Geometric Invariants in Object Recognition.

Abstract

The project has involved the use of invariants in computer vision and has shown that invariants can greatly improve the efficiency of object recognition. As part of the project, two kinds of invariants have been studied. (1) Geometric invariants, which assume that the geometry of the object is given. The objective here is to use descriptors of the object that are independent of the geometric transformations that complicate object recognition, such as change of the viewpoint from which the object is seen, or small deformations. (2) Physical invariants, which take into account the physical process by which the image is obtained such as irradiation by visible light, infra-red, radar, sonar etc. We borrow methods from physics to apply invariants similar to energy and momentum of the physical process. In these processes there are usually more unknowns than equations. The invariants help in putting additional constraints on the underdetermined set of equations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1995
Accession Number
ADA311344

Entities

People

  • Isaac Weiss

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Vision
  • Equations
  • Image Recognition
  • Object Recognition
  • Recognition
  • Visible Spectra

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms