Abstract
This paper presents a configurable CAD-based object recognition system for varying resolution 3D sensors such as Time-Of-Flight (ToF) cameras and laser scanners. The object recognition system is used for recognizing and localizing target objects on the basis of the geometric and topological information extracted from STEP-files. The novelty of our system is its configurability, i.e. its ability to adjust the level of detail of the database object models to the properties of the applied sensor system, e.g., resolution, accuracy and signal to noise ratio.
Original language | English |
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Title of host publication | Proceedings |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
ISBN (Print) | 978-1-5090-6190-7, 978-1-5090-6189-1 |
DOIs | |
Publication status | Published - 7 Oct 2016 |
MoE publication type | A4 Article in a conference publication |
Event | 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2016 - Auckland, New Zealand Duration: 29 Aug 2016 → 31 Aug 2016 |
Conference
Conference | 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2016 |
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Abbreviated title | MESA 2016 |
Country/Territory | New Zealand |
City | Auckland |
Period | 29/08/16 → 31/08/16 |
Keywords
- CAD models
- configurable
- geometric models
- object recognition