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Perceptual Grouping Using Superpixels

  • Sven J. Dickinson
  • Alex Levinshtein
  • Cristian Sminchisescu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7329)

Abstract

Perceptual grouping plays a critical role in both human and computer vision. However, with the object categorization community’s preoccupation with object detection, interest in perceptual grouping has waned. The reason for this is clear: the object-independent, mid-level shape priors that form the basis of perceptual grouping are subsumed by the object-dependent, high-level shape priors defined by a target object. As the recognition community moves from object detection back to object recognition, a linear search through a large database of target models is intractable, and perceptual grouping will be essential for sublinear scaling. We review two approaches to perceptual grouping based on grouping superpixels. In the first, we use symmetry to group superpixels into symmetric parts, and then group the parts to form structured objects. In the second, we use contour closure to group superpixels, yielding a figure-ground segmentation.

Keywords

perceptual grouping superpixels object categorization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sven J. Dickinson
    • 1
  • Alex Levinshtein
    • 1
  • Cristian Sminchisescu
    • 2
  1. 1.University of TorontoCanada
  2. 2.University of BonnGermany

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