GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB

We address the highly challenging problem of real-time 3D hand tracking based on a monocular RGB-only sequence. Our tracking method combines a convolutional neural network with a kinematic 3D hand model, such that it generalizes well to unseen data, is robust to occlusions and varying camera viewpoi...

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Bibliographic Details
Published in2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 49 - 59
Main Authors Mueller, Franziska, Bernard, Florian, Sotnychenko, Oleksandr, Mehta, Dushyant, Sridhar, Srinath, Casas, Dan, Theobalt, Christian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
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