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DRNet: A Depth-Based Regression Network for 6D Object Pose Estimation
This paper focuses on 6Dof object pose estimation from a single RGB image. We tackle this challenging problem with a two-stage optimization framework. More specifically, we first introduce a translation estimation module to provide an initial translation based on an estimated depth map. Then, a pose...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957651/ https://www.ncbi.nlm.nih.gov/pubmed/33804518 http://dx.doi.org/10.3390/s21051692 |