Cargando…
Unsupervised Learning of Monocular Depth and Ego-Motion with Optical Flow Features and Multiple Constraints
This paper proposes a novel unsupervised learning framework for depth recovery and camera ego-motion estimation from monocular video. The framework exploits the optical flow (OF) property to jointly train the depth and the ego-motion models. Unlike the existing unsupervised methods, our method extra...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963015/ https://www.ncbi.nlm.nih.gov/pubmed/35214285 http://dx.doi.org/10.3390/s22041383 |