Maximally Stable Colour Regions for Recognition and Matching

  title={Maximally Stable Colour Regions for Recognition and Matching},
  author={Per-Erik Forss{\'e}n},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
This paper introduces a novel colour-based affine co-variant region detector. Our algorithm is an extension of the maximally stable extremal region (MSER) to colour. The extension to colour is done by looking at successive time-steps of an agglomerative clustering of image pixels. The selection of time-steps is stabilised against intensity scalings and image blur by modelling the distribution of edge magnitudes. The algorithm contains a novel edge significance measure based on a Poisson image… CONTINUE READING
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