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...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 09. Okt., Seite 6327-6344
|
|---|
| Auteur principal: |
Xu, Yuanlu
(Auteur) |
|---|
| Autres auteurs: |
Wang, Wenguan,
Liu, Tengyu,
Liu, Xiaobai,
Xie, Jianwen,
Zhu, Song-Chun |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2022
|
|---|
| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
|---|