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Generalised Hough transform

Known as: Generalized Hough transform, Hough forest, Pose clustering 
The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.). In these cases, we have… Expand
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Abstract In this paper, we address the challenging task of simultaneous recognition of overlapping sound events from single… Expand
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Highly Cited
2010
Highly Cited
2010
Objects are usually embedded into context. Visual context has been successfully used in object detection tasks, however, it is… Expand
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Highly Cited
2007
Highly Cited
2007
Abstract This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world… Expand
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2004
2004
The generalised Hough transform (GHT) extends the Hough transform (HT) to the extraction of arbitrary shapes. In practice, the… Expand
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Highly Cited
2003
Highly Cited
2003
One of the challenges in 3D shape matching arises from the fact that in many applications, models should be considered to be the… Expand
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Highly Cited
1997
Highly Cited
1997
Clustering methods need to be robust if they are to be useful in practice. In this paper, we analyze several popular robust… Expand
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Highly Cited
1994
Highly Cited
1994
  • K. F. Lai, R. Chin
  • Proceedings of IEEE Conference on Computer Vision…
  • 1994
  • Corpus ID: 8871834
This paper considers the problem of modeling and extracting arbitrary deformable contours from noisy images. We propose a global… Expand
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Highly Cited
1989
Highly Cited
1989
Abstract This paper studies how ellipses may be detected using the Hough transform. Early work by Tsuji and Matsumoto permitted… Expand
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1988
1988
A new approach to corner detection is described which is based on the generalised Hough transform. The approach has the advantage… Expand
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Highly Cited
1981
Highly Cited
1981
Abstract The Hough transform is a method for detecting curves by exploiting the duality between points on a curve and parameters… Expand
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