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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kitahama, K. Tsukada, A. Galpin, F. Matsubara, T. Hirano, Y. |
| Copyright Year | 2006 |
| Description | Author affiliation: Toyota Motor Corp., Shizuoka (Kitahama, K.; Tsukada, A.; Galpin, F.; Matsubara, T.; Hirano, Y.) |
| Abstract | In this paper, we present a new approach for scene understanding by an autonomous robot, using imaging sensors only. Our goal is to build in real-time a 3D representation of the scene which is suitable for further 3D interaction. We assume the scene is composed of a mix of known and unknown objects. We present a strategy to automatically build online a consistent 3D representation from a set computer vision algorithms results. We especially focus on 2 important aspects: the constraints and choices of each parts of the system, as well as the global layout of these parts, and the final step where all information are merged together to build a unique 3D representation. Results on real scene and system performance are finally showed to validate the proposed approach |
| Starting Page | 4756 |
| Ending Page | 4761 |
| File Size | 368302 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424402581 |
| DOI | 10.1109/IROS.2006.282345 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Service robots Path planning Intelligent robots Robot sensing systems Image sensors Sensor systems Image reconstruction Robustness Scalability volume reconstruction service robot scene representation 3D interaction object recognition |
| Content Type | Text |
| Resource Type | Article |
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