Scale Space Methods in Computer Vision

@inproceedings{Leeuwen2003ScaleSM,
  title={Scale Space Methods in Computer Vision},
  author={Jan van Leeuwen and Lewis D. Griffin and Martin Lillholm},
  booktitle={Lecture Notes in Computer Science},
  year={2003}
}
In an ordinary 2D image the critical points and the isophotes through the saddle points provide sufficient information for classifying the image into distinct regions belonging to the extrema (i.e. a collection of bright and dark blobs), together with their nesting due to the saddle isophotes. For scale space images, obtained by convolution of the image with a Gaussian filter at a continuous range of widths for the Gaussian, things are more complicated. Here only scale space saddle points occur… CONTINUE READING
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