Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation from a monocular RGB image. Our model takes estimated 2D pose as the input and learns a generalized 2D-3D mapping function to leverage into 3D pose. The proposed model consists of a base network which efficien...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 09. Okt., Seite 6327-6344
|
|---|
| 1. Verfasser: |
Xu, Yuanlu
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Wang, Wenguan,
Liu, Tengyu,
Liu, Xiaobai,
Xie, Jianwen,
Zhu, Song-Chun |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|