Details
Original language | German |
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Place of Publication | Düsseldorf |
Number of pages | 112 |
Publication status | Published - 2020 |
Publication series
Name | Fortschritt-Berichte VDI |
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Publisher | VDI Verlag |
Volume | 869 |
ISSN (Print) | 0178-9627 |
Abstract
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Düsseldorf, 2020. 112 p. (Fortschritt-Berichte VDI; Vol. 869).
Research output: Book/Report › Monograph › Research
}
TY - BOOK
T1 - Human Pose Estimation from Monocular Images
AU - Wandt, Bastian
PY - 2020
Y1 - 2020
N2 - Abstract This dissertation deals with the problem of capturing human motions and poses using a single camera. The frst part of the thesis proposes two closely related approaches for the 3D reconstruction of human motions from image sequences. To resolve inherent ambiguities in monocular 3D reconstruction the main idea of this part is to exploit temporal properties of human motions in combination with a human body model learned from training data. The second part of the thesis tackles the problem of reconstructing a human pose from a single image. A human body model is learned by training a deep neural network that covers nonlinearities and anthropometric constraints. C O N T E N T S 1 Introduction ….. 1 1.1 Applications and Commercial Systems . . . . . . . . . . . 1 1.2 Image-based Motion Capture . . . . . . . . . . . . . . . . 2 1.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3.1 Time Consistent Human Motion Reconstruction . 6 1.3.2 RepNet
AB - Abstract This dissertation deals with the problem of capturing human motions and poses using a single camera. The frst part of the thesis proposes two closely related approaches for the 3D reconstruction of human motions from image sequences. To resolve inherent ambiguities in monocular 3D reconstruction the main idea of this part is to exploit temporal properties of human motions in combination with a human body model learned from training data. The second part of the thesis tackles the problem of reconstructing a human pose from a single image. A human body model is learned by training a deep neural network that covers nonlinearities and anthropometric constraints. C O N T E N T S 1 Introduction ….. 1 1.1 Applications and Commercial Systems . . . . . . . . . . . 1 1.2 Image-based Motion Capture . . . . . . . . . . . . . . . . 2 1.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3.1 Time Consistent Human Motion Reconstruction . 6 1.3.2 RepNet
KW - 3D reconstruction
KW - Universität Hannover
KW - Structure From Motion
KW - TNT
KW - Monocular Cameras
KW - Human Pose Estimation
U2 - 10.51202/9783186869104
DO - 10.51202/9783186869104
M3 - Monografie
SN - 9783186869104
T3 - Fortschritt-Berichte VDI
BT - Human Pose Estimation from Monocular Images
CY - Düsseldorf
ER -