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Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding

  • Michael Maire
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6312)

Abstract

Image segmentation and figure/ground organization are fundamental steps in visual perception. This paper introduces an algorithm that couples these tasks together in a single grouping framework driven by low-level image cues. By encoding both affinity and ordering preferences in a common representation and solving an Angular Embedding problem, we allow segmentation cues to influence figure/ground assignment and figure/ground cues to influence segmentation. Results are comparable to state-of-the-art automatic image segmentation systems, while additionally providing a global figure/ground ordering on regions.

Keywords

Image Segmentation Natural Image Illusory Contour Edge Pixel Ground Organization 
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 2010

Authors and Affiliations

  • Michael Maire
    • 1
  1. 1.California Institute of TechnologyPasadena

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