“Automatic Alignment and Completion of Point Cloud Environments Using XR Data” by Vermandere, Bassier and Vergauwen

  • ©Jelle Vermandere, Maarten Bassier, and Maarten Vergauwen

Conference:


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Entry Number: 46

Title:

    Automatic Alignment and Completion of Point Cloud Environments Using XR Data

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References:


    Dimitrios Bolkas, Jeffrey Chiampi, John Chapman, and Vincent F. Pavill. 2020. Creating a virtual reality environment with a fusion of sUAS and TLS point-clouds. International Journal of Image and Data Fusion 11, 2 (2020), 136–161. https://doi.org/10.1080/19479832.2020.1716861Google ScholarCross Ref
    E. Lachat, T. Landes, and P. Grussenmeyer. 2016. Combination of TLS point clouds and 3D data from kinect V2 sensor to complete indoor models. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives 41 (2016), 659–666. https://doi.org/10.5194/isprsarchives-XLI-B5-659-2016Google Scholar
    Chuan Luo, Wei Yang, Panling Huang, and Jun Zhou. 2019. Overview of Image Matching Based on ORB Algorithm. Journal of Physics: Conference Series 1237, 3 (2019). https://doi.org/10.1088/1742-6596/1237/3/032020Google ScholarCross Ref
    T. Partovi, M. Dähne, M. Maboudi, D. Krueger, and M. Gerke. 2021. Automatic integration of laser scanning and photogrammetric point clouds: From acquisition to co-registration. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives 43, B1-2021 (2021), 85–92. https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-85-2021Google Scholar
    Qian Yi Zhou, Jaesik Park, and Vladlen Koltun. 2016. Fast global registration. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9906 LNCS, August(2016), 766–782. https://doi.org/10.1007/978-3-319-46475-6_47Google Scholar


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