Virtual World-Based Multi-View-Point Vision Time Reliant  Simulation Data

Shaikh Mohammad Aamir; Hina J Chokshi

doi:10.55524/

Authors

Shaikh Mohammad Aamir MCA- Alumni 2021, Department of PIET- MCA, Parul Institute of Engineering & Technology, Parul University Author
Hina J Chokshi Assistant Professor, Department of PICA-BCA, Parul Institute of Engineering & Technology, Parul University Author

DOI:

https://doi.org/10.55524/

Keywords:

Computer Graphics, MVS, Simulation and Modeling, Virtual Reality, VTK, Vision, Virtual Environments

Abstract

A virtual world is a computer-generated simulation of a world with specific geographical and physical qualities in which users can interact with one another through "avatars," or projections of themselves. Virtual reality, according to this study, offers new, fascinating, and exciting ways to train in a safe, yet realistic environment. Individual learners, as well as teams working together, benefit from it, which simplifies procedures and helps to a safer and better workplace. In this paper the author use the modern virtual world’s which differs from that of classic video Analyze time-based simulation information demanding. This paper demonstrate about the graphics of computer, importance of Virtual Reality, Simulation and Modeling, games in this paper. The main goals of this study is to determine the Virtual World-Based Multi-View-Point Vision Time Reliant Simulation Data. In the approaching days, virtual world-based technologies will become more efficient and beneficial, and Virtual Reality is one of the technologies with the greatest estimated future development potential.

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References

G. Goswami and P. K. Goswami, “Artificial Intelligence based PV-Fed Shunt Active Power Filter for IOT Applications,” 2020. doi: 10.1109/SMART50582.2020.9337063.

L. C. Pickup, A. W. Fitzgibbon, and A. Glennerster, “Modelling human visual navigation using multi-view scene reconstruction,” Biol. Cybern., 2013, doi: 10.1007/s00422-013-0558-2.

G. K. Rajput, A. Kumar, and S. Kundu, “A comparative study on sentiment analysis approaches and methods,” 2020. doi: 10.1109/SMART50582.2020.9337106.

M. T. Jagtap, R. C. Tripathi, and D. K. Jawalkar, “Depth accuracy determination in 3-d stereoscopic image retargeting using DMA,” 2020. doi: 10.1109/SMART50582.2020.9337117.

A. K. Agarwal and A. Jain, “Synthesis of 2D and 3D NoC mesh router architecture in HDL environment,” J. Adv. Res. Dyn. Control Syst., 2019.

R. Chen, S. Han, J. Xu, and H. Su, “Visibility-Aware Point-Based Multi-View Stereo Network,” IEEE Trans. Pattern Anal. Mach. Intell., 2021, doi: 10.1109/TPAMI.2020.2988729.

M. Schirski et al., “ViSTA FlowLib - A framework for interactive visualization and exploration of unsteady flows in virtual environments,” 2003. doi: 10.1145/769953- 769963.

L. Arns, D. Cook, and C. Cruz-Neira, “Benefits of statistical visualization in an immersive environment,” Proc. - Virtual Real. Annu. Int. Symp., 1999.

P. O’leary et al., “Enhancements to VTK enabling scientific visualization in immersive environments,” 2017. doi: 10.1109/VR.2017.7892246.

W. Schroeder, K. Martin, and B. Lorensen, “The Visualization Toolkit (VTK),” Open Source, 2018. [11] T. S. Group and H. P. Computing, “Scientific Visualization with VTK , The Visualization Toolkit,” Fluid Dyn., 2008. [12] F. A. Halim, W. H. N. Wan Muda, N. Zakaria, and N. H. B. A. Samad, “The potential of using augmented reality (AR) technology as learning material in TVET,” J. Tech. Educ. Train., 2020, doi: 10.30880/jtet.2020.12.01.012. [13] K. Miundy, H. B. Zaman, A. Nosrdin, and K. H. Ng, “Evaluation of visual based augmented reality (Ar) learning application (v-ara-dculia) for dyscalculia learners,” Int. J. Informatics Vis., 2019, doi: 10.30630/joiv.3.4.321. [14] L. E. Reeves et al., “Use of augmented reality (Ar) to aid bioscience education and enrich student experience,” Res. Learn. Technol., 2021, doi: 10.25304/rlt.v29.2572. [15] D. Bos, S. Miller, and E. Bull, “Using virtual reality (VR) for teaching and learning in geography: fieldwork, analytical skills, and employability,” J. Geogr. High. Educ., 2021, doi: 10.1080/03098265.2021.1901867.

K. H. Seok, Y. H. Kim, W. Son, and Y. S. Kim, “Using visual guides to reduce virtual reality sickness in first person shooter games: Correlation analysis,” JMIR Serious Games, 2021, doi: 10.2196/18020.