Author manuscript, published in 'Dans Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications- M2SFA2 2008 (2008)' A Unified Approach to Calibrate a Network of
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| Název: | Author manuscript, published in 'Dans Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications- M2SFA2 2008 (2008)' A Unified Approach to Calibrate a Network of |
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| Autoři: | Tof Cameras, Li Guan, Marc Pollefeys |
| Přispěvatelé: | The Pennsylvania State University CiteSeerX Archives |
| Zdroj: | http://hal.archives-ouvertes.fr/docs/00/32/19/41/PDF/1569138968.pdf. |
| Rok vydání: | 2008 |
| Sbírka: | CiteSeerX |
| Popis: | In this paper, we propose a unified calibration technique for a heterogeneous sensor network of video camcorders and Time-of-Flight (ToF) cameras. By moving a spherical calibration target around the commonly observed scene, we can robustly and conveniently extract the sphere centers in the observed images and recover the geometric extrinsics for both types of sensors. The approach is then evaluated with a real dataset of two HD camcorders and two ToF cameras, and 3D shapes are reconstructed from this calibrated system. The main contributions are: (1) We reveal the fact that the frontmost sphere surface point to the ToF camera center is always highlighted, and use this idea to extract sphere centers in the ToF camera images; (2) We propose a unified calibration scheme in spite of the heterogeneity of the sensors. After the calibration, this multi-modal sensor network thus becomes powerful to generate high-quality 3D shapes efficiently. |
| Druh dokumentu: | text |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.2069 |
| Dostupnost: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.2069 http://hal.archives-ouvertes.fr/docs/00/32/19/41/PDF/1569138968.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Přístupové číslo: | edsbas.AABFD587 |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | In this paper, we propose a unified calibration technique for a heterogeneous sensor network of video camcorders and Time-of-Flight (ToF) cameras. By moving a spherical calibration target around the commonly observed scene, we can robustly and conveniently extract the sphere centers in the observed images and recover the geometric extrinsics for both types of sensors. The approach is then evaluated with a real dataset of two HD camcorders and two ToF cameras, and 3D shapes are reconstructed from this calibrated system. The main contributions are: (1) We reveal the fact that the frontmost sphere surface point to the ToF camera center is always highlighted, and use this idea to extract sphere centers in the ToF camera images; (2) We propose a unified calibration scheme in spite of the heterogeneity of the sensors. After the calibration, this multi-modal sensor network thus becomes powerful to generate high-quality 3D shapes efficiently. |
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