Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings |
| Herausgeber (Verlag) | IEEE Computer Society |
| Seiten | 1165-1169 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781467399616 |
| Publikationsstatus | Veröffentlicht - 3 Aug. 2016 |
| Veranstaltung | 23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, USA / Vereinigte Staaten Dauer: 25 Sept. 2016 → 28 Sept. 2016 |
Publikationsreihe
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| Band | 2016-August |
| ISSN (Print) | 1522-4880 |
Abstract
Camera calibration denotes the task of estimating the projective mapping between 3D world and the camera image plane. Most of the modern cameras have multiple image and video acquisition modes, which differ in image resolution, field of view or aspect ratio. Each mode should be treated as an independent device, and therefore independently calibrated. This straightforward solution implies the acquisition of the calibration dataset and execution of the calibration routine for each of the camera modes, a time-consuming and error-prone task, especially in a multi-camera scenario. In this paper we propose a multimode camera calibration approach that noticeably relieves this task. We show how the calibration model of one camera mode can be easily transferred to the other modes without the need of multiple calibrations. The evaluation test performed on off-the-shelf consumer cameras shows that the proposed method not only reduces the required amount of user interaction, but also allows for the calibration accuracy improvement.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
- Informatik (insg.)
- Signalverarbeitung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings. IEEE Computer Society, 2016. S. 1165-1169 7532541 (Proceedings - International Conference on Image Processing, ICIP; Band 2016-August).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Multimode camera calibration
AU - Bushnevskiy, Andrey
AU - Sorgi, Lorenzo
AU - Rosenhahn, Bodo
PY - 2016/8/3
Y1 - 2016/8/3
N2 - Camera calibration denotes the task of estimating the projective mapping between 3D world and the camera image plane. Most of the modern cameras have multiple image and video acquisition modes, which differ in image resolution, field of view or aspect ratio. Each mode should be treated as an independent device, and therefore independently calibrated. This straightforward solution implies the acquisition of the calibration dataset and execution of the calibration routine for each of the camera modes, a time-consuming and error-prone task, especially in a multi-camera scenario. In this paper we propose a multimode camera calibration approach that noticeably relieves this task. We show how the calibration model of one camera mode can be easily transferred to the other modes without the need of multiple calibrations. The evaluation test performed on off-the-shelf consumer cameras shows that the proposed method not only reduces the required amount of user interaction, but also allows for the calibration accuracy improvement.
AB - Camera calibration denotes the task of estimating the projective mapping between 3D world and the camera image plane. Most of the modern cameras have multiple image and video acquisition modes, which differ in image resolution, field of view or aspect ratio. Each mode should be treated as an independent device, and therefore independently calibrated. This straightforward solution implies the acquisition of the calibration dataset and execution of the calibration routine for each of the camera modes, a time-consuming and error-prone task, especially in a multi-camera scenario. In this paper we propose a multimode camera calibration approach that noticeably relieves this task. We show how the calibration model of one camera mode can be easily transferred to the other modes without the need of multiple calibrations. The evaluation test performed on off-the-shelf consumer cameras shows that the proposed method not only reduces the required amount of user interaction, but also allows for the calibration accuracy improvement.
KW - Calibration transfer
KW - Camera calibration
KW - Multicamera calibration
KW - Multimode calibration
UR - http://www.scopus.com/inward/record.url?scp=85006827361&partnerID=8YFLogxK
U2 - 10.1109/icip.2016.7532541
DO - 10.1109/icip.2016.7532541
M3 - Conference contribution
AN - SCOPUS:85006827361
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1165
EP - 1169
BT - 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PB - IEEE Computer Society
T2 - 23rd IEEE International Conference on Image Processing, ICIP 2016
Y2 - 25 September 2016 through 28 September 2016
ER -