Tome, D;
Russell, C;
Agapito, L;
(2017)
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image.
In:
(Proceedings) 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 5689-5698).
IEEE: Honolulu, HI, USA.
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Abstract
We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks. We take an integrated approach that fuses probabilistic knowledge of 3D human pose with a multi-stage CNN architecture and uses the knowledge of plausible 3D landmark locations to refine the search for better 2D locations. The entire process is trained end-to-end, is extremely efficient and obtains state-of-the-art results on Human3.6M outperforming previous approaches both on 2D and 3D errors.
| Type: | Proceedings paper |
|---|---|
| Title: | Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image |
| Event: | 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Location: | Honolulu, HI |
| Dates: | 21 July 2017 - 26 July 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CVPR.2017.603 |
| Publisher version: | https://doi.org/10.1109/CVPR.2017.603 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, SHAPE |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10074299 |
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