@inproceedings{e39bade2a49b4dbcb981d3524029e649,
title = "Efficient colorization of large-scale point cloud using multi-pass Z-ordering",
abstract = "We present an efficient colorization method for a large scale point cloud using multi-view images. To address the practical issues of noisy camera parameters and color inconsistencies across multi-view images, our method takes an optimization approach for achieving visually pleasing point cloud colorization. We introduce a multi-pass Zordering technique that efficiently defines a graph structure to a large-scale and un-ordered set of 3D points, and use the graph structure for optimizing the point colors to be assigned. Our technique is useful for defining minimal but sufficient connectivities among 3D points so that the optimization can exploit the sparsity for efficiently solving the problem. We demonstrate the effectiveness of our method using synthetic datasets and a large-scale real-world data in comparison with other graph construction techniques.",
author = "Sunyoung Cho and Jizhou Yan and Yasuyuki Matsushita and Hyeran Byun",
year = "2015",
month = feb,
day = "6",
doi = "10.1109/3DV.2014.33",
language = "English",
series = "Proceedings - 2014 International Conference on 3D Vision, 3DV 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "689--696",
booktitle = "Proceedings - 2014 International Conference on 3D Vision, 3DV 2014",
address = "United States",
note = "2014 2nd International Conference on 3D Vision, 3DV 2014 ; Conference date: 08-12-2014 Through 11-12-2014",
}