3D scanning

Making a 3D-model of a Viking belt buckle using a hand held VIUscan 3D laser scanner

3D scanning is the process of analyzing a real-world object or environment to collect three dimensional data of its shape and possibly its appearance (e.g. color). The collected data can then be used to construct digital 3D models.

A 3D scanner can be based on many different technologies, each with its own limitations, advantages and costs. Many limitations in the kind of objects that can be digitised are still present. For example, optical technology may encounter many difficulties with dark, shiny, reflective or transparent objects. For example, industrial computed tomography scanning, structured-light 3D scanners, LiDAR and Time Of Flight 3D Scanners can be used to construct digital 3D models, without destructive testing.

Collected 3D data is useful for a wide variety of applications. These devices are used extensively by the entertainment industry in the production of movies and video games, including virtual reality. Other common applications of this technology include augmented reality,[1] motion capture,[2][3] gesture recognition,[4] robotic mapping,[5] industrial design, orthotics and prosthetics,[6] reverse engineering and prototyping, quality control/inspection and the digitization of cultural artifacts.[7]

  1. ^ Izadi, Shahram; Davison, Andrew; Fitzgibbon, Andrew; Kim, David; Hilliges, Otmar; Molyneaux, David; Newcombe, Richard; Kohli, Pushmeet; Shotton, Jamie; Hodges, Steve; Freeman, Dustin (2011). "Kinect Fusion". Proceedings of the 24th annual ACM symposium on User interface software and technology - UIST '11. p. 559. doi:10.1145/2047196.2047270. ISBN 9781450307161. S2CID 3345516.
  2. ^ Moeslund, Thomas B.; Granum, Erik (1 March 2001). "A Survey of Computer Vision-Based Human Motion Capture". Computer Vision and Image Understanding. 81 (3): 231–268. CiteSeerX 10.1.1.108.203. doi:10.1006/cviu.2000.0897.
  3. ^ Wand, Michael; Adams, Bart; Ovsjanikov, Maksim; Berner, Alexander; Bokeloh, Martin; Jenke, Philipp; Guibas, Leonidas; Seidel, Hans-Peter; Schilling, Andreas (April 2009). "Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data". ACM Transactions on Graphics. 28 (2): 1–15. CiteSeerX 10.1.1.230.1675. doi:10.1145/1516522.1516526. S2CID 9881027.
  4. ^ Biswas, K. K.; Basu, Saurav Kumar (2011). "Gesture recognition using Microsoft Kinect®". The 5th International Conference on Automation, Robotics and Applications. pp. 100–103. doi:10.1109/ICARA.2011.6144864. ISBN 978-1-4577-0330-0. S2CID 8464855.
  5. ^ Kim, Pileun; Chen, Jingdao; Cho, Yong K. (May 2018). "SLAM-driven robotic mapping and registration of 3D point clouds". Automation in Construction. 89: 38–48. doi:10.1016/j.autcon.2018.01.009.
  6. ^ Scott, Clare (2018-04-19). "3D Scanning and 3D Printing Allow for Production of Lifelike Facial Prosthetics". 3DPrint.com.
  7. ^ O'Neal, Bridget (2015-02-19). "CyArk 500 Challenge Gains Momentum in Preserving Cultural Heritage with Artec 3D Scanning Technology". 3DPrint.com.

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