Darwish, W. , Bolsée, Q. , & Munteanu, A. (2020). Robust Calibration of a Multi-View Azure Kinect Scanner Based on Spatial Consistency . In International Conference on 3D Imaging (pp. 1-6). [9376321] (2020 International Conference on 3D Immersion, IC3D 2020 - Proceedings). IEEE.

@inproceedings{d075a1039a5e41899303f8c171c84182,
title = " Robust Calibration of a Multi-View Azure Kinect Scanner Based on Spatial Consistency " ,
abstract = " In this work, we introduce a new calibration method for a camera system comprising five Azure Kinect. The calibration method uses a ChArUco coded cube installed in the middle of the system. A new 3D optimization cost is proposed to overcome the IR camera noise and to enhance global 3D consistency of the captured model. The cost includes the repro-jection error and the point to plane distance. As a refinement stage, along with point to plane distance, a patch to plane distance is added in the cost to overcome the noise effect of the depth camera. The experimental results demonstrate that the proposed calibration method achieves a better reprojection error and more stable results in terms of standard deviation of the estimated pose compared to the state-of-the-art. In addition, the qualitative results show that the proposed method can produce a better registered point cloud compared to conventional calibration. " ,
author = " Walid Darwish and Quentin Bols{'e}e and Adrian Munteanu " ,
year = " 2020 " ,
month = dec,
day = " 15 " ,
doi = " 10.1109/IC3D51119.2020.9376321 " ,
language = " English " ,
isbn = " 978-1-6654-4782-9 " ,
series = " 2020 International Conference on 3D Immersion, IC3D 2020 - Proceedings " ,
publisher = " IEEE " ,
pages = " 16 " ,
booktitle = " International Conference on 3D Imaging " ,
note = " International Conference on 3D Imaging 2020, IC3D Conference date: 15-12-2020 Through 15-12-2020 " ,
}