A Probabilistic Segmentation Scheme

  • Authors:
  • Dmitrij Schlesinger;Boris Flach

  • Affiliations:
  • Dresden University of Technology,;Dresden University of Technology,

  • Venue:
  • Proceedings of the 30th DAGM symposium on Pattern Recognition
  • Year:
  • 2008

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Abstract

We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent upon application, the latter is interpreted either as a perturbation or as meaningful object characteristic. We discuss the recognition task for segmentation, learning tasks for parameter estimation as well as different formulations of shading estimation tasks.