• DocumentCode
    3719691
  • Title

    cFAST: A fast color feature detector

  • Author

    C. Robert Pech;Jens Vial;Andreas Zell

  • Author_Institution
    Chair of Cognitive Systems, Computer Science Department, University of Tuebingen, Tuebingen, Germany
  • fYear
    2015
  • Firstpage
    248
  • Lastpage
    253
  • Abstract
    By extending the basic idea of FAST it is possible to create a detector that can operate directly on a RGB color image and on it detect a higher number of features. The higher number of points and the simplification of the metric put us in the position to impose an additional condition on the keypoints. In order to do so we picked up a problem of FAST and defined a condition for similar points. This additional condition enables results that are better than FAST with regard to stability. Furthermore this condition enables a fast implementation, so that with the triple amount of input data due to the color channels less than threefold of time is required.
  • Keywords
    "Image color analysis","Feature extraction","Detectors","Databases","Lighting","Color","Measurement"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on
  • Print_ISBN
    978-1-4799-8636-1
  • Electronic_ISBN
    2154-512X
  • Type

    conf

  • DOI
    10.1109/IPTA.2015.7367139
  • Filename
    7367139