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DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks
This paper focuses on 6D pose estimation for weakly textured targets from RGB-D images. A 6D pose estimation algorithm (DOPE++) based on a deep neural network for weakly textured objects is proposed to solve the poor real-time pose estimation and low recognition efficiency in the robot grasping proc...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176784/ https://www.ncbi.nlm.nih.gov/pubmed/35675352 http://dx.doi.org/10.1371/journal.pone.0269175 |