DocumentCode :
1121584
Title :
A syntactic approach to scale-space-based corner description
Author :
Fermüller, Cornelia ; Kropatsch, Walter
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Volume :
16
Issue :
7
fYear :
1994
fDate :
7/1/1994 12:00:00 AM
Firstpage :
748
Lastpage :
751
Abstract :
Planar curves are described by information about corners integrated over various levels of resolution. The detection of corners takes place on a digital representation. To compensate for ambiguities arising from sampling problems due to the discreteness, results about the local behavior of curvature extrema in continuous scale-space are employed
Keywords :
edge detection; image processing; parallel processing; corner detection; curvature extrema; planar curves; resolution; sampling problems; scale space based corner description; syntactic approach; Computer vision; Image processing; Image resolution; Image segmentation; Laboratories; Large-scale systems; Pattern recognition; Sampling methods; Shape; Smoothing methods;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.297957
Filename :
297957
Link To Document :
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