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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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Detalles Bibliográficos
Autores principales: Jin, Lei, Wang, Xiaojuan, He, Mingshu, Wang, Jingyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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