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Flag Manifolds for the Characterization of Geometric Structure in Large Data Sets

  • Tim Marrinan
  • J. Ross Beveridge
  • Bruce Draper
  • Michael Kirby
  • Chris Peterson
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 103)

Abstract

We propose a flag manifold representation as a framework for exposing geometric structure in a large data set. We illustrate the approach by building pose flags for pose identification in digital images of faces and action flags for action recognition in video sequences. These examples illustrate that the flag manifold has the potential to identify common features in noisy and complex datasets.

Keywords

Training Sample Video Sequence Action Recognition Geodesic Distance Data Cloud 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Tim Marrinan
    • 1
  • J. Ross Beveridge
    • 1
  • Bruce Draper
    • 1
  • Michael Kirby
    • 1
  • Chris Peterson
    • 1
  1. 1.Colorado State UniversityFort CollinsUSA

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