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Visual feature extraction and description

  • Khalifa Djemal
  • Jean-Pierre Cocquerez
  • Frédéric Precioso
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

Since the very beginning of pattern recognition in the early 70’s, pattern recognition remains a research challenge and has become of paramount importance nowadays. Today, machine learning methods complete expert knowledge in the choice of optimal feature sets with respect to image categories to be searched and recognized. This chapter provides an overview of the feature extraction and description approaches for still images as well as for spatio-temporal data analysis.

Keywords

Interest Point Scale Invariant Feature Transform Interest Point Detector Maximally Stable Extremal Region Scale Invariant Feature Transform Feature 
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

© The Author(s) 2012

Authors and Affiliations

  • Khalifa Djemal
  • Jean-Pierre Cocquerez
  • Frédéric Precioso
    • 1
  1. 1.UNS I3S UMR 7271/UNS_CNRSSophia Antipolis CedexFrance

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