1. Abulrub, A. H. G., Attridge, A. N., & Williams, M. A. (2011, 4-6 April 2011). Virtual reality in engineering education: The future of creative learning. 2011 IEEE Global Engineering Education Conference (EDUCON),
2. Adami, P., Rodrigues, P. B., Woods, P. J., Becerik-Gerber, B., Soibelman, L., Copur-Gencturk, Y., & Lucas, G. (2021). Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation. Advanced Engineering Informatics, 50, 101431. DOI: 10.1016/j.aei.2021.101431
3. Alexander, O., Rogers, M., Lambeth, W., Chiang, M., & Debevec, P. (2009, 12-13 Nov. 2009). Creating a Photoreal Digital Actor: The Digital Emily Project. 2009 Conference for Visual Media Production,
4. Bot, J. A., Irschick, D. J., Grayburn, J., Lischer-Katz, Z., Golubiewski-Davis, K., & Ikeshoji-Orlati, V. (2019). Using 3D photogrammetry to create open-access models of live animals: 2D and 3D software solutions. Grayburn et al., eds. D, 3, 54-72.
5. Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2017). Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence, 40(4), 834-848.
6. Cowie, N., & Alizadeh, M. (2022). The Affordances and Challenges of Virtual Reality for Language Teaching. International Journal of TESOL Studies, 4(3).
7. Cui, B., Tao, W., & Zhao, H. (2021). High-Precision 3D Reconstruction for Small-to-Medium-Sized Objects Utilizing Line-Structured Light Scanning: A Review. Remote Sensing, 13(21), 4457. https://www.mdpi.com/2072-4292/13/21/4457
8. Dewez, T. J. B., Girardeau-Montaut, D., Allanic, C., & Rohmer, J. (2016). FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 799-804. DOI: 10.5194/isprs-archives-XLI-B5-799-2016
9. Farella, E. M., Morelli, L., Rigon, S., Grilli, E., & Remondino, F. (2022). Analysing Key Steps of the Photogrammetric Pipeline for Museum Artefacts 3D Digitisation. Sustainability, 14(9), 5740. https://www.mdpi.com/2071-1050/14/9/5740
10. Frost, A., Mirashrafi, S., Sánchez, C. M., Vacas-Madrid, D., Millan, E. R., & Wilson, L. (2023). Digital Documentation of Reflective Objects: A Cross-Polarised Photogrammetry Workflow for Complex Materials. In 3D Research Challenges in Cultural Heritage III: Complexity and Quality in Digitisation (pp. 131-155). Springer.
11. Han, E., Nowak, K. L., & Bailenson, J. N. (2022). Prerequisites for Learning in Networked Immersive Virtual Reality.
12. Kang, M. S., & An, Y.-K. (2021). Deep Learning-Based Automated Background Removal for Structural Exterior Image Stitching. Applied Sciences, 11(8), 3339. https://www.mdpi.com/2076-3417/11/8/3339
13. Leberl, F., Irschara, A., Pock, T., Meixner, P., Gruber, M., Scholz, S., & Wiechert, A. (2010). Point Clouds. Photogrammetric Engineering & Remote Sensing, 76(10), 1123-1134. DOI: 10.14358/PERS.76.10.1123
14. Loosemore, M., & Malouf, N. (2019). Safety training and positive safety attitude formation in the Australian construction industry. Safety Science, 113, 233-243. DOI: 10.1016/j.ssci.2018.11.029
15. Moolman, J., Corkery, G., Walsh, J., & Morrissey-Tucker, S. (2022). THE USE OF COLLABORATIVE VIRTUAL ENVIRONMENTS (CVES) FOR ENGINEERING EDUCATION IN HIGHER EDUCATION INSTITUTIONS. EDULEARN22 Proceedings,
16. Newton, S., Wang, R., & Lowe, R. (2015). Blended reality and presence. International Journal of Design Sciences & Technology, 21(2).
17. Noya, N. C., García, Á. L., & Ramírez, F. C. (2015). Combining photogrammetry and photographic enhancement techniques for the recording of megalithic art in north-west Iberia. Digital Applications in Archaeology and Cultural Heritage, 2(2), 89-101. DOI: 10.1016/j.daach.2015.02.004
18. Pan, Y., Braun, A., Brilakis, I., & Borrmann, A. (2022). Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition. Automation in Construction, 140, 104375. DOI: 10.1016/j.autcon.2022.104375
19. Porter, S. T., Roussel, M., & Soressi, M. (2016). A Simple Photogrammetry Rig for the Reliable Creation of 3D Artifact Models in the Field: Lithic Examples from the Early Upper Paleolithic Sequence of Les Cottés (France). Advances in Archaeological Practice, 4(1), 71-86. DOI: 10.7183/2326-3768.4.1.71
20. Ronneberger, O., Fischer, P., & Brox, T. (2015). U-net: Convolutional networks for biomedical image segmentation. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18,
21. Sacks, R., Perlman, A., & Barak, R. (2013). Construction safety training using immersive virtual reality. Construction Management and Economics, 31(9), 1005-1017. DOI: 10.1080/01446193.2013.828844
22. Schaich, M., & Fritsch, D. (2013). Combined 3D scanning and photogrammetry surveys with 3D database support for archaeology and cultural heritage. A practice report on ArcTron’s information system aSPECT3D. Photogrammetric Week’13, 233-246.
23. Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3549-3557.
24. Stefan, H., Mortimer, M., Horan, B., & Kenny, G. (2023). Evaluating the preliminary effectiveness of industrial virtual reality safety training for ozone generator isolation procedure. Safety Science, 163, 106125. DOI: 10.1016/j.ssci.2023.106125
25. Triantafyllou, V., Kotsopoulos, K. I., Tsolis, D., & Tsoukalos, D. (2022, 18-20 July 2022). Practical Techniques for Aerial Photogrammetry, Polygon Reduction and Aerial 360 Photography for Cultural Heritage Preservation in AR and VR Applications. 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA),
26. Wang, J., Li, Z., Hu, W., Shao, Y., Wang, L., Wu, R., Ma, K., Zou, D., & Chen, Y. (2019). Virtual reality and integrated crime scene scanning for immersive and heterogeneous crime scene reconstruction. Forensic Science International, 303, 109943. DOI: 10.1016/j.forsciint.2019.109943
27. Wang, R., Peethambaran, J., & Chen, D. (2018). LiDAR Point Clouds to 3-D Urban Models$:$ A Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 606-627. DOI: 10.1109/JSTARS.2017.2781132
28. White, W. W., & Jung, M. J. (2022). Three-Dimensional Virtual Reality Spinal Cord Stimulator Training Improves Trainee Procedural Confidence and Performance. Neuromodulation: Technology at the Neural Interface. DOI: 10.1016/j.neurom.2022.03.005

Informazioni sul capitolo

Informazioni bibliografiche