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Corner detection

Known as: Moravec corner detection algorithm, Moravec, Corner 
Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner… Expand
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Papers overview

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Highly Cited
2010
Highly Cited
2010
The efficient detection of interesting features is a crucial step for various tasks in Computer Vision. Corners are favored cues… Expand
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Highly Cited
2008
Highly Cited
2008
This paper proposes a curvature-based corner detector that detects both fine and coarse features accurately at low computational… Expand
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Highly Cited
2006
Highly Cited
2006
Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors… Expand
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Highly Cited
2006
Highly Cited
2006
This paper evaluates the performance of several popular corner detectors using two newly defined criteria. The majority of… Expand
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Highly Cited
2003
Highly Cited
2003
There are many applications such as stereo matching, mo- tion tracking and image registration that require so called 'corners' to… Expand
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Highly Cited
2001
Highly Cited
2001
For over 30 years (1970-2000) researchers in computer vision have been proposing new methods for performing low-level vision… Expand
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Highly Cited
1998
Highly Cited
1998
Abstract This paper describes a new corner detection algorithm, based on the property of corners that the change of image… Expand
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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… Expand
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Highly Cited
1995
Highly Cited
1995
This paper presents a fast algorithm for corner detection based on the observation that the total curvature of the grey-level… Expand
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Highly Cited
1982
Highly Cited
1982
The usual approach to detecting corners in shapes involves first segmenting the shape, then locating the corners in its boundary… Expand
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