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

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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Bibliographic Details
Main Authors: Yongzhi Su, Jason Rambach, Alain Pagani, Didier Stricker
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
object pose estimation
convolutional neural networks
training with synthetic images
deep learning
domain adaptation
6DoF object pose
Online Access:https://www.mdpi.com/1424-8220/21/1/300

Internet

https://www.mdpi.com/1424-8220/21/1/300

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