Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

We introduce a new dataset, Human3.6M, of 3.6 Million accurate 3D Human poses, acquired by recording the performance of 5 female and 6 male subjects, under 4 different viewpoints, for training realistic human sensing systems and for evaluating the next generation of human pose estimation models and...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence Jg. 36; H. 7; S. 1325 - 1339
Hauptverfasser: Ionescu, Catalin, Papava, Dragos, Olaru, Vlad, Sminchisescu, Cristian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos, CA IEEE 01.07.2014
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0162-8828, 1939-3539, 2160-9292, 1939-3539
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