Cargando…
A Recurrent Deep Network for Estimating the Pose of Real Indoor Images from Synthetic Image Sequences
Recently, deep convolutional neural networks (CNN) have become popular for indoor visual localisation, where the networks learn to regress the camera pose from images directly. However, these approaches perform a 3D image-based reconstruction of the indoor spaces beforehand to determine camera poses...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582800/ https://www.ncbi.nlm.nih.gov/pubmed/32992742 http://dx.doi.org/10.3390/s20195492 |