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The Role of Key-Points in Finding Contours

Henricsson, O. and Heitger, F.
Computer Vision -- ECCV'94
1994

Abstract

This paper describes a method for aggregating local edge evidences into coherent pieces of contour. An independent representation of corner and junction features provides suitable stop-conditions for the aggregation process and allows to divide contours into meaningful sub-strings, right from the beginning. The active role of corner and junction points makes the contours converge onto them and greatly reduces the problems associated with purely edge-based methods. A second stage is concerned with completing established contours across regions that are less well-defined by contrast. The algorithm suggested uses the attributes of established structures (e.g. direction of termination) as well as local orientation and edge evidences to constrain possible completions in a rigorous way.


Download in postscript format
@InProceedings{eth_biwi_00020,
  author = {Henricsson and O. and Heitger and F.},
  title = {The Role of Key-Points in Finding Contours},
  booktitle = {Computer Vision -- ECCV'94},
  year = {1994},
  pages = {371-383},
  volume = {II},
  editor = {J.O. Eklundh},
  publisher = {Springer Verlag},
  keywords = {segmentation,contour,key points}
}