Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment-Reference-Cited by-同舟云学术

Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment

Published:2020-12 Issue: Volume:33 Page:106321
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Hellmuth René,Wehner Florian,Giannakidis Alexandros

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference8 articles.

1. Albers, J., Bock, J., Harms, F., Junge, L., 2018. Digital Humanities in Museum 4.0.

2. Photogrammetric 3D scanning of physical objects: tools and workflow;Reljić;TEM J.,2019

3. Integration of image and laser scanning data based on selected example;Mikrut;Image Process. Commun.,2014

4. Approach for an update method for digital factory models;Hellmuth;Proc. CIRP CMS,2020

5. Erfassung von Bauteilen durch photogrammetrische punktwolken und abgleich eines 4D-bauwerkmodells zur baufortschrittskontrolle;Tuttas;München,2017

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated workflow for cooperative robotic fabrication of natural tree fork structures;Automation in Construction;2024-09

2. Exploring the Use of LiDAR in Smartphones: Documenting the Frontispiece of Saint Francis of Assisi Church in Ouro Preto, Brazil;International Journal of Architectural Heritage;2024-04-17

3. Creating a Virtual Scene Using Photogrammetric 3D Models and Simulating a Security Task;EAI/Springer Innovations in Communication and Computing;2024

4. Virtual Reality as a Tool for Sustainable Training and Education of Employees in Industrial Enterprises;Sustainability;2023-08-25

5. Improved 3D point cloud segmentation for accurate phenotypic analysis of cabbage plants using deep learning and clustering algorithms;Computers and Electronics in Agriculture;2023-08