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Pablo Arbelaez

 

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Hierarchical Boundaries

 

Original Image
Hierarchical Segmentation
Ultrametric Contour Map

Description

We designed a boundary extraction system that combines several types of low-level image information into a generic notion of segmentation scale. Our system constructs a hierarchical representation of the image boundaries called Ultrametric Contour Map (UCM). Thresholding an UCM at level k provides by definition a set of closed curves, the boundaries of the segmentation at scale k. The system parameters were optimized with respect to ground-truth data, in order to make the UCM and the segmentation scale completely automatic.

Results

Quantitative evaluation of Ultrametric Contour Maps on the Berkeley Segmentation Dataset and Benchmark (BSDB) using Precision-Recall curves.
  • Browse the results on the test set of the BSDB (100 images).

  • Take a look at my notes on the evaluation methodology.

Publications

  • P. Arbelaez. Boundary Extraction in Natural Images Using Ultrametric Contour Maps. Proceedings 5th IEEE Workshop on Perceptual Organization in Computer Vision (POCV'06). June 2006. New York, USA. [pdf]

  • P. Arbelaez. Une approche metrique pour la segmentation d'images. Ph.D. Dissertation. CEREMADE, Universite Paris-Dauphine. Paris, France. November 2005. (in French)