Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion
Dense non-rigid structure from motion (NRSfM) has long been a challenge in computer vision because of the vast number of feature points. As neural networks develop rapidly, a novel solution is emerging. However, existing methods ignore the significance of spatial–temporal data and the strong capacit...
Furkejuvvon:
| Váldodahkkit: | , , , , |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
MDPI AG
2022-10-01
|
| Ráidu: | Mathematics |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/2227-7390/10/20/3794 |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
|