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View Matching with Blob Features

Per-Erik Forssén, Anders Moe
CRV05, Victoria, BC, Canada
2nd Canadian Conference on Computer and Robot Vision
Pages 228-235
May 2005


This paper introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the feature extraction stage. We perform experiments on the repeatability rate of the features across scale and inclination angle changes, and show that avoiding to merge regions connected by only a few pixels improves the repeatability. Finally we introduce two voting schemes that allow us to find correspondences automatically, and compare them with respect to the number of valid correspondences they give, and their inlier ratios.

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Bibtex entry

  author = 	 {Per-Erik Forss\'en and Anders Moe},
  title = 	 {View Matching with Blob Features},
  booktitle = 	 {2nd Canadian Conference on Computer and Robot Vision},
  pages = 	 {228--235},
  year = 	 {2005},
  address = 	 {Victoria, BC, Canada},
  month = 	 {May},
  isbn =         {0-7695-2319-6},
  publisher =    {{IEEE} Computer Society}

Per-Erik Forssén

Per-Erik Forssén


Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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