Method of additional target visual pattern

  • Authors:

  • A. I. Armer

  • Affiliations:

  • Ulyanovsk State Technical University, Ulyanovsk, Russia 432027

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2011

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Abstract

This paper proposes an approach to complete the group of images that make up a target visual pattern. Completion is realized with images derived by autoregressive models of variability. The derived images possess occasional differences in various kinds of images that were initially a visual pattern component. Results can be used in construction of a machine vision system operating in an uncontrolled environment.