Scale space

Known as: Scale-space representation, Scale-space, Scale-space theory 
Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing… (More)
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Topic mentions per year

Topic mentions per year

1962-2018
05010015019622018

Papers overview

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Highly Cited
2011
Highly Cited
2011
Effective and efficient generation of keypoints from an image is a well-studied problem in the literature and forms the basis of… (More)
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Highly Cited
2003
Highly Cited
2003
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift… (More)
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Highly Cited
1999
Highly Cited
1999
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that… (More)
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Highly Cited
1998
Highly Cited
1998
This paper describes a novel method for image corner detection based on the curvature scale-space (CSS) representation. The first… (More)
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Highly Cited
1994
Highly Cited
1994
The formulation of afront-end or“early vision” system is addressed, and its connection with scale-space is shown. A front-end… (More)
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Highly Cited
1993
Highly Cited
1993
A newaffine invariant scale-space for planar curves is presented in this work. The scale-space is obtained from the solution of a… (More)
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Highly Cited
1990
Highly Cited
1990
Abstracf-The scale-space technique introduced by Witkin involves generating coarser resolution images by convolving the original… (More)
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Highly Cited
1990
Highly Cited
1990
We address the formulation of a scale-space theory for discrete signals. In one dimension it is possible to characterize the… (More)
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Highly Cited
1986
Highly Cited
1986
Scale-space filtering constructs hierarchic symbolic signal descriptions by transforming the signal into a continuum of versions… (More)
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Highly Cited
1983
Highly Cited
1983
The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of… (More)
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