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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...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7957651/ https://ncbi.nlm.nih.gov/pubmed/33804518 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21051692 |
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