DocumentCode :
3208061
Title :
Multi-resolution shape description by corners
Author :
Fermüller, Cornelia ; Kropatsch, Walter
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
271
Lastpage :
276
Abstract :
A robust method for describing planar curves in multiple resolution using curvature information is presented. The method is developed by taking into account the discrete nature of digital images as well as the discrete aspect of a multiresolution structure (pyramid). The main contribution lies in the robustness of the technique, which is due to the additional information that is extracted from observing the behavior of corners in the whole pyramid. Furthermore, the resulting algorithm is conceptually simple and easily parallelizable. Theoretical results are developed analyzing the curvature of continuous curves in scale-space and showing the behavior of curvature extrema under varying scale. The results are used to eliminate any ambiguities that might arise from sampling problems due to the discreteness of the representation. Experimental results demonstrate the potential of the method
Keywords :
computational geometry; computer vision; curve fitting; feature extraction; image processing; ambiguities; continuous curves; corners; curvature extrema; curvature information; digital images; multiple resolution; multiresolution structure; parallelizable; planar curves; robustness; scale-space; varying scale; Automation; Computer vision; Digital images; Image resolution; Image segmentation; Laboratories; Robustness; Sampling methods; Shape; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223264
Filename :
223264
Link To Document :
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