On Focus-of-Attention by Active Focusing

  • Kjell Brunnström
  • Jan-Olof Eklundh
  • Akira Kakimoto
Conference paper
Part of the NATO ASI Series book series (volume 83)


Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans.

In this paper we will investigate problems in connection with foveation, that is in examining selected regions of the world at high resolution. We will consider a static world viewed by an active observer that has this capability. The tasks we will consider is that of finding and classifying junctions of contours, features that give important information about 3-dimensional structure like object shape and occlusions. Since they are completely local features, we can study them without treating the problem of integrating local information into global cues. We will show that foveation, as simulated by controlled, active zooming, allows robust detection and classification of junctions with very simple algorithms.


Window Size Edge Direction Interest Point Intensity Histogram Computer Vision System 
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 1992

Authors and Affiliations

  • Kjell Brunnström
    • 1
  • Jan-Olof Eklundh
    • 1
  • Akira Kakimoto
    • 1
  1. 1.Computer Vision and Associative Pattern Processing Laboratory, (CVAP) Department of Computer Vision and Numerical AnalysisRoyal Institute of TechnologyStockholmSweden

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