Histogram of oriented gradients

Known as: Histogram of oriented gradients (HOG), Hog 
The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection… (More)
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Currently, Computer Vision (CV) is one of the most popular research topics in the world. This is because it can support the human… (More)
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2014
2014
The ease with which digital images can be manipulated without severe degradation of quality makes it necessary to be able to… (More)
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2013
2013
When imaging the heart, using a 2D ultrasound probe, different views can manifest depending on the location and angulations of… (More)
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2013
2013
The outstanding Histogram-of-Oriented-Gradients (HOG) feature proposed by Dalal and Triggs is a state-of-art technique for… (More)
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2012
2012
Face recognition has become an important issue in many applications such as security systems, credit card verification and… (More)
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2012
2012
Ear recognition is a promising biometric measure, especially with the growing interest in multi-modal biometrics. Histogram of… (More)
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2010
2010
This paper proposes a robust motion detection method for illumination variations which uses histogram of oriented gradients. The… (More)
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2008
2008
Human detection is the task of finding presence and position of human beings in images, In this paper, we apply scale space… (More)
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2008
2008
This paper introduces a novel way to implement graph cut for video object segmentation with shape information. Graph Cut is a… (More)
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Highly Cited
2006
Highly Cited
2006
We integrate the cascade-of-rejectors approach with the Histograms of Oriented Gradients (HoG) features to achieve a fast and… (More)
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