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Absolute Camera Pose Regression Using an RGB-D Dual-Stream Network and Handcrafted Base Poses
Absolute pose regression (APR) for camera localization is a single-shot approach that encodes the information of a 3D scene in an end-to-end neural network. The camera pose result of APR methods can be observed as the linear combination of the base poses. Previous APR methods’ base poses are learned...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503637/ https://www.ncbi.nlm.nih.gov/pubmed/36146335 http://dx.doi.org/10.3390/s22186971 |