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Detection of General Edges and Keypoints

L. Rosenthaler, F. Heitger, O. K├╝bler and R. von der Heydt
Computer Vision -- ECCV'92


A computational framework for extracting (1) edges with an arbitrary profile function and (2) keypoints such as corners, vertices and terminations is presented. Using oriented filters with even and odd symmetry we combine their convolution outputs to oriented energy resulting in a unified representation of edges, lines and combinations thereof. We derive an "edge quality" measure which allows to test the validity of a general edge model. A detection scheme for keypoints is proposed based on an analysis of oriented energy channels using differential geometry.

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  author = {L. Rosenthaler and F. Heitger and O. K\"ubler and R. von der Heydt},
  title = {Detection of General Edges and Keypoints},
  booktitle = {Computer Vision -- ECCV'92},
  year = {1992},
  pages = {78-86},
  editor = {G. Sandini},
  publisher = {Springer Verlag},
  keywords = {segmentation,contour,key points}