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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pomerleau, Francois Magnenat, Stephane Colas, Francis Liu, Ming Siegwart, Roland |
| Copyright Year | 2011 |
| Description | Author affiliation: Autonomous Systems Lab. - ETH Zurich, Tannenstr 3, 8092 Zürich, Switzerland (Pomerleau, Francois; Magnenat, Stephane; Colas, Francis; Liu, Ming; Siegwart, Roland) |
| Abstract | The increasing number of ICP variants leads to an explosion of algorithms and parameters. This renders difficult the selection of the appropriate combination for a given application. In this paper, we propose a state-of-the-art, modular, and efficient implementation of an ICP library. We took advantage of the recent availability of fast depth cameras to demonstrate one application example: a 3D pose tracker running at 30 Hz. For this application, we show the modularity of our ICP library by optimizing the use of lean and simple descriptors in order to ease the matching of 3D point clouds. This tracker is then evaluated using datasets recorded along a ground truth of millimeter accuracy. We provide both source code and datasets to the community in order to accelerate further comparisons in this field. |
| Starting Page | 3824 |
| Ending Page | 3829 |
| File Size | 601561 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6094861 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iterative closest point algorithm Sensors Approximation methods Noise Complexity theory Three dimensional displays Accuracy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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