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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… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep… Expand
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Highly Cited
2017
Highly Cited
2017
We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly… Expand
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Highly Cited
2016
Highly Cited
2016
This paper addresses the challenge of 3D full-body human pose estimation from a monocular image sequence. Here, two cases are… Expand
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Highly Cited
2016
Highly Cited
2016
We address the problem of determining where a photo was taken by estimating a full 6-DOF-plus-intrincs camera pose with respect… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
A method is proposed that can generate a ranked list of plausible three-dimensional hand configurations that best match an input… Expand
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Highly Cited
2000
Highly Cited
2000
Determining the rigid transformation relating 2D images to known 3D geometry is a classical problem in photogrammetry and… Expand
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Highly Cited
1989
Highly Cited
1989
Solutions for four different pose estimation problems are presented. Closed-form least-squares solutions are given to the… Expand
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