Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Multi-Camera System Calibration for 3D Scene Reconstruction, Modeling and Visualization (CROSBI ID 665505)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

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). 2018. str. 380-394

Podaci o odgovornosti

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

engleski

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

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.

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

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

380-394.

2018.

nije evidentirano

objavljeno

978-86-6022-055-6

Podaci o matičnoj publikaciji

Conference Proceedings of 6th International Conference on Geometry and Graphics (MONGEOMETRIJA 2018)

Podaci o skupu

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

predavanje

06.06.2018-09.06.2018

Novi Sad, Srbija

Povezanost rada

Računarstvo