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SynPo-Net—Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic Training

Estimation and tracking of 6DoF poses of objects in images is a challenging problem of great importance for robotic interaction and augmented reality. Recent approaches applying deep neural networks for pose estimation have shown encouraging results. However, most of them rely on training with real...

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Detalles Bibliográficos
Autores principales: Su, Yongzhi, Rambach, Jason, Pagani, Alain, Stricker, Didier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796199/
https://www.ncbi.nlm.nih.gov/pubmed/33466293
http://dx.doi.org/10.3390/s21010300