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non-rigid ICP [2] as an option to further improve the
pose estimation.
• The preparation of an extensive annotated dataset will
lead to an objective evaluation of our approach with
various parameters and settings and a comparison to
state of the art methods.
• Here, we assumed a correct segmentation result. In
future we need to investigate optimal segmentation
methods for real world experiments.
ACKNOWLEDGMENT
The research leading to these results has received funding
from the European Community’s Seventh Framework Pro-
gramme FP7/2007-2013 under grant agreement No. 600623,
STRANDS and industrial funding from OMRON Corpora-
tion in Japan
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91
Proceedings of the OAGM&ARW Joint Workshop
Vision, Automation and Robotics
- Title
- Proceedings of the OAGM&ARW Joint Workshop
- Subtitle
- Vision, Automation and Robotics
- Authors
- Peter M. Roth
- Markus Vincze
- Wilfried Kubinger
- Andreas MĂĽller
- Bernhard Blaschitz
- Svorad Stolc
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Wien
- Date
- 2017
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-524-9
- Size
- 21.0 x 29.7 cm
- Pages
- 188
- Keywords
- Tagungsband
- Categories
- International
- Tagungsbände