Multi-Scale Spatio-Temporal Feature Extraction and Depth Estimation from Sequences by Ordinal Classification
Depth estimation is a key problem in 3D computer vision and has a wide variety of applications. In this paper we explore whether deep learning network can predict depth map accurately by learning multi-scale spatio-temporal features from sequences and recasting the depth estimation from a regression...
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
MDPI AG
2020-04-01
|
| Sarja: | Sensors |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/1424-8220/20/7/1979 |