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). Article 9376321 (2020 International Conference on 3D Immersion, IC3D 2020 - Proceedings). IEEE. https://doi.org/10.1109/IC3D51119.2020.9376321

@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 = "1--6",
booktitle = "International Conference on 3D Imaging",
note = "International Conference on 3D Imaging 2020, IC3D ; Conference date: 15-12-2020 Through 15-12-2020",
}