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Titel:

I Like to Move It: 6D Pose Estimation as an Action Decision Process

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Busam, B.; Jung, H. J.; Navab, N.
Abstract:
Object pose estimation is an integral part of robot vision and augmented reality. Robust and accurate pose prediction of both object rotation and translation is a crucial element to enable precise and safe human-machine interactions and to allow visualization in mixed reality. Previous 6D pose estimation methods treat the problem either as a regression task or discretize the pose space to classify. We reformulate the problem as an action decision process where an initial pose is updated in incre...     »
Stichworte:
Poses,3DObjectDetection,6DPoseEstimation,SyntheticData
Kongress- / Buchtitel:
arXiv
Jahr:
2020
 BibTeX