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Content Provider | IEEE Xplore Digital Library |
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Author | Klimentjew, D. Stroh, A. Jockel, S. Jianwei Zhang |
Copyright Year | 2009 |
Description | Author affiliation: Dept. of Informatics, University of Hamburg, Vogt-Kölln-Straße 30, 22527, Germany (Klimentjew, D.; Stroh, A.; Jockel, S.; Jianwei Zhang) |
Abstract | This paper presents a modular software architecture based on a stereo camera system that makes real-time 3D perception, interaction and navigation for small humanoid robots possible. The hardware-independent architecture can be used for several purposes, like 3D visualisation, object recognition, selflocalization, collision avoidance et cetera. First of all, the intrinsic calibration parameters of the stereo camera system are identified. Then the lens distortions of the input images are revised, and both images are rectified according to the extrinsic parameters to facilitate the subsequent correspondence analysis. The imaged scenery, as well as a region of interest, can be reconstructed either by the block-matching, the Schirai- or the Birchfield algorithm, followed by triangulation back into 3D space. Finally, the above-mentioned aims can be tackled based on the resulting 3D model computed by our modular software architecture. |
Starting Page | 354 |
Ending Page | 359 |
File Size | 1283083 |
Page Count | 6 |
File Format | |
ISBN | 9781424426782 |
DOI | 10.1109/ROBIO.2009.4913029 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-02-22 |
Publisher Place | Thailand |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Humanoid robots Software architecture Robot vision systems Cameras Application software Real time systems Navigation Computer architecture Visualization Object recognition humanoid robot software architecture real-time perception of environment stereo vision 3D reconstruction |
Content Type | Text |
Resource Type | Article |
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