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Pregled bibliografske jedinice broj: 954083

Multi-Camera System Calibration for 3D Scene Reconstruction, Modeling and Visualization


Mijatov, Jovan; Zlokolica, Vladimir; Obradović, Ratko; Ljubobratović, Relja; Obradović, Radovan; Mastilović, Vladimir; Vdovjak, Krešimir; Galić, Irena
Multi-Camera System Calibration for 3D Scene Reconstruction, Modeling and Visualization // Conference Proceedings of 6th International Conference on Geometry and Graphics (MONGEOMETRIJA 2018)
Novi Sad, Srbija, 2018. str. 380-394 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Multi-Camera System Calibration for 3D Scene Reconstruction, Modeling and Visualization

Autori
Mijatov, Jovan ; Zlokolica, Vladimir ; Obradović, Ratko ; Ljubobratović, Relja ; Obradović, Radovan ; Mastilović, Vladimir ; Vdovjak, Krešimir ; Galić, Irena

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Conference Proceedings of 6th International Conference on Geometry and Graphics (MONGEOMETRIJA 2018) / - , 2018, 380-394

ISBN
978-86-6022-055-6

Skup
The 6th International Conference on Geometry and Graphics (MONGEOMETRIJA 2018)

Mjesto i datum
Novi Sad, Srbija, 6.-9.6.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Camera calibration ; computer vision ; photogrammetry ; 3D modeling ; multi-view stereo ; structure-from-motion ; architecture ; design technology ; fabrication ; education

Sažetak
Current state-of-the-art multi-camera-view 3D reconstruction algorithms provide high quality 3D point cloud, which is further used for 3D meshing, texture mapping and finally generating corresponding 3D model of the scene. One of the most important factors for both 3D surface reconstruction and texture mapping is accurate and robust camera calibration. This paper presents a novel approach for multicamera system calibration where we extend and make mixture of known calibration techniques to calibrate multi- camera system with specially designed three- dimensional calibration object. More precisely, we extend calibration technique that uses planar pattern to three-dimensional pattern camera calibration. First, camera parameters are roughly estimated for all cameras in multiple camera system, then these parameters are refined using standard bundle adjustment algorithm. The proposed approach has been tested with synthetic and real data. Mean square error between re- projected and detected pattern points has been found to be in the range of 0.1px – 0.5px, for real camera data of 24MPx. The proposed method is shown to be more accurate or comparable to other calibration techniques.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek