Computer Vision as a Platform in Metaverse
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Metaverse is a modern new technology that is advancing quickly. The goal of this study is to investigate this technique from the perspective of computer vision as well as general perspective. A thorough analysis of computer vision related Metaverse topics has been done in this study. Its history, method, architecture, benefits, and drawbacks are all covered. The Metaverse's future and the steps that must be taken to adapt to this technology are described. The concepts of Mixed Reality (MR), Augmented Reality (AR), Extended Reality (XR) and Virtual Reality (VR) are briefly discussed. The role of computer vision and its application, advantages and disadvantages and the future research areas are discussed.
Abstract
Metaverse is a modern new technology that is advancing quickly. The goal of this study is to investigate this technique from the perspective of computer vision as well as general perspective. A thorough analysis of computer vision related Metaverse topics has been done in this study. Its history, method, architecture, benefits, and drawbacks are all covered. The Metaverse's future and the steps that must be taken to adapt to this technology are described. The concepts of Mixed Reality (MR), Augmented Reality (AR), Extended Reality (XR) and Virtual Reality (VR) are briefly discussed. The role of computer vision and its application, advantages and disadvantages and the future research areas are discussed.
참고문헌 (25)
- Joshua, J., "Information Bodies: Computational Anxiety in Neal Stephenson's Snow Crash", Interdisciplinary Literary Studies, 19(1), pp.17~47 (2017)
- "What really is the difference between AR / MR / VR / XR?" (2020)[URL]
- Milgram, Paul, "A Taxonomy of Mixed Reality Visual Displays", IEICE Trans. Information Systems, E77-D(12), pp.1321~1329 (1994)
- Thomas, P. C., "Augmented reality: An application of heads-up display technology to manual manufacturing processes", Hawaii international conference on system sciences, pp.659~669 (1992)
- Fast-Berglund, Å., "Testing and validating Extended Reality (xR) technologies in manufacturing", Procedia Manufacturing, 25, pp.31~38 (2018)
- Computer vision: Evolution and promise, "Huang, T. S.", CERN European Organization for Nuclear, 21~26 (1996)
- Marr, D., "Vision: A computational investigation into the human representation and processing of visual information", pp.2~ (1982), henry holt and co. Inc
- Computer vision: Evolution and promise, "Huang, T. S.", CERN European Organization for Nuclear, 21~26 (1996)
- Barioni, R. R., "Human Pose Tracking from RGB Inputs", 2018 20th Symposium on Virtual and Augmented Reality (SVR), pp.176~182 (2018), IEEE
- Fast-Berglund, Å., "Testing and validating Extended Reality (xR) technologies in manufacturing", Procedia Manufacturing, 25, pp.31~38 (2018)
- "Pros and Cons of the Metaverse" (2021)[URL]
- "The Metaverse Value-Chain" (2021)[URL]
- Smart, J., "Metaverse Roadmap 2007: pathways to the 3D Web", A Cross-industry Public Foresight Project, ~ (2008)
- "The Metaverse Value-Chain" (2021)[URL]
- Duan, H., "Metaverse for social good: A university campus prototype", Proceedings of the 29th ACM International Conference on Multimedia, pp.153~161 (2021)
- Thais Mayumi Oshiro, "How many trees in a random forest?", International workshop on machine learning and data mining in pattern recognition, pp.154~168 (2012), Springer
- Aidan Fuller, "Digital twin: Enabling technologies, challenges and open research", IEEE access, 8, pp.108952~108971 (2020)
- Mohamed Habib Farhat, "Digital twin-driven machine learning: ball bearings fault severity classification", Measurement Science and Technology, 32(4), pp.044006~ (2021)
- Giulio Paolo Agnusdei, "A classification proposal of digital twin applications in the safety domain", Computers & Industrial Engineering, pp.107137~ (2021)
- Farzin Piltan, "Bearing anomaly recognition using an intelligent digital twin integrated with machine learning", Applied Sciences, 11(10), pp.4602~ (2021)
- Heikki Laaki, "Prototyping a digital twin for real time remote control over mobile networks:Application of remote surgery", IEEE Access, 7, pp.20325~20336 (2019)
- Ying Liu, "A novel cloud-based framework for the elderly healthcare services using digital twin", IEEE Access, 7, pp.49088~49101 (2019)
- Ziran Wang, "A digital twin paradigm: Vehicle-to-cloud based advanced driver assistance systems", 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), pp.1~6 (2020), IEEE
