Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates (bibtex)
by Jesse Richter-Klug, Udo Frese
Abstract:
Image based object recognition and pose estimation is nowadays a heavily focused research field important for robotic object manipulation. Despite the impressive recent success of CNNs to our knowledge none includes a self-estimation of its predicted pose's uncertainty.
Reference:
Jesse Richter-Klug, Udo Frese, "Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates", In Computer Vision Systems, Springer International Publishing, Cham, pp. 408-422, 2019.
Bibtex Entry:
@InProceedings{10.1007/978-3-030-34995-0_37,
author="Richter-Klug, Jesse
and Frese, Udo",
editor="Tzovaras, Dimitrios
and Giakoumis, Dimitrios
and Vincze, Markus
and Argyros, Antonis",
title="Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates",
booktitle="Computer Vision Systems",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="408--422",
abstract="Image based object recognition and pose estimation is nowadays a heavily focused research field important for robotic object manipulation. Despite the impressive recent success of CNNs to our knowledge none includes a self-estimation of its predicted pose's uncertainty.",
isbn="978-3-030-34995-0",
url       = {https://link.springer.com/chapter/10.1007/978-3-030-34995-0_37},
keywords={easecrc_perception}
}
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