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Detecting Distinguished Regions by Saliency

  • Friedrich Fraundorfer
  • Horst Bischof
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

A method for detecting and characterizing local image regions based on saliency is introduced. The proposed method detects scale localized salient regions in an image by a saliency operator which uses the concept of visual attention. A new descriptor based on a corner-ness measure is presented which allows a stable identification of regions of interest and at the same time allows for an elaborate description of the identified salient regions. Experiments demonstrate that the resulting salient regions and their descriptions are discriminative enough for image matching.

Keywords

Visual Attention Image Match Salient Region Saliency Detector Point Correspondence 
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-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Friedrich Fraundorfer
    • 1
  • Horst Bischof
    • 1
  1. 1.Computer Graphics and VisionGraz University of TechnologyAustria

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