Coregistering 3D Models, Range, and Optical Imagery Using Least-Median Squares Fitting.

Abstract

When using methods for recovering the least squares optimal pose+registration parameters between a model and an image suite, construction of the feature correspondences is key. Inclusion of outliers in the correspondence set can severly deteriorate the performance and fidelity of these pose+coregistration estimation algorithms. We consider the use of median filtering in the construction of consistent correspondences. Finally, we test our coregistration with a median filtering system on real ATR data.

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Document Details

Document Type
Technical Report
Publication Date
Dec 29, 1995
Accession Number
ADA308530

Entities

People

  • Anthony N. Schwickerath
  • J. R. Beveridge

Organizations

  • Colorado State University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Construction
  • Filtration
  • Inclusions
  • Reliability

Readers

  • Approximation Theory.
  • Computer Vision.
  • Systems Analysis and Design