6D Pose Estimation
6D Pose Estimation is a computational task in computer vision that determines the six-dimensional Euclidean transformation—comprising three degrees of freedom for translation and three for orientation—defining the spatial pose of a rigid object relative to a reference coordinate system, distinguishing it from lower-dimensional or partial pose estimation techniques by fully specifying both position and 3D rotation.
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790
1.4K
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev, Christian Szegedy · 2014 · 3.3K citations · Full text
Shih-En Wei, Varun Ramakrishna, Takeo Kanade et al. · 2016 · 2.8K citations
A Simple Yet Effective Baseline for 3d Human Pose Estimation
Julieta Martínez, Rayat Hossain, Javier Romero et al. · 2017 · 1.5K citations
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Technical University of Munich
Munich, Germany
30 h-index
123 publications
9.1K citations
ETH Zurich
Zurich, Switzerland
28 h-index
83 publications
8.9K citations
Tsinghua University
Beijing, China
23 h-index
65 publications
6.5K citations
Carnegie Mellon University
Pittsburgh, United States
23 h-index
79 publications
16.2K citations

Czech Technical University in Prague
Prague, Czechia
20 h-index
54 publications
7.3K citations

Zhejiang University
Hangzhou, China
20 h-index
88 publications
8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
20 h-index
43 publications
5.5K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
91 publications
2.8K citations
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TPAMI · 63 publications · 8.4K citations
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Repository · 99 publications · 3.4K citations
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Conference · 26 publications · 2K citations
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25 publications · 798 citations
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