3D pose estimation

3D pose estimation is the problem of determining the transformation of an object in a 2D image which gives the 3D object. The need for 3D pose… (More)
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks… (More)
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Highly Cited
2016
Highly Cited
2016
This paper addresses the problem of 3D human pose estimation in the wild. A significant challenge is the lack of training data, i… (More)
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Highly Cited
2015
Highly Cited
2015
Detecting poorly textured objects and estimating their 3D pose reliably is still a very challenging problem. We introduce a… (More)
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Highly Cited
2014
Highly Cited
2014
We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN… (More)
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Highly Cited
2014
Highly Cited
2014
Human pose estimation has made significant progress during the last years. However current datasets are limited in their coverage… (More)
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Highly Cited
2011
Highly Cited
2011
This paper presents a novel system to estimate body pose configuration from a single depth map. It combines both pose detection… (More)
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Highly Cited
2011
Highly Cited
2011
We describe a method for human pose estimation in static images based on a novel representation of part models. Notably, we do… (More)
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Highly Cited
2010
Highly Cited
2010
Automatic recovery of 3D human pose from monocular image sequences is a challenging and important research topic with numerous… (More)
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Highly Cited
2000
Highly Cited
2000
ÐDetermining the rigid transformation relating 2D images to known 3D geometry is a classical problem in photogrammetry and… (More)
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1993
1993
The paper focuses on the robust 30-30 single and multiple pose estimation. The robust 30-30 single pose estimation was formulated… (More)
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