@inproceedings{137c54ee10364401963320219b62f8a6,
title = "Detection of general edges and keypoints",
abstract = "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.",
author = "L. Rosenthaler and F. Heitger and O. K{\"u}bler and {von der Heydt}, R.",
note = "Funding Information: Two aspects of our approach are new: (a) The use of a contrast independent measure for deviations from a general edge; this enables us to limit the application of the edge model to points that qualify as general edge points. The local maxima of oriented energy * The research described in this paper has been supported by the Swiss National Science Foun-dation, Grant no. 32-8968.86. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1992.; 2nd European Conference on Computer Vision, ECCV 1992 ; Conference date: 19-05-1992 Through 22-05-1992",
year = "1992",
doi = "10.1007/3-540-55426-2_10",
language = "English (US)",
isbn = "9783540554264",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "78--86",
editor = "Giulio Sandini",
booktitle = "Computer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings",
}