ANALYSIS OF OPTIMIZATION METHODS OF WEB RELATIONSHIPS WITH AUGMENTED REALITY
DOI:
https://doi.org/10.26906/SUNZ.2024.4.106Keywords:
web, augmented reality, optimizationAbstract
Topicality. With the development of mobile and wireless technologies, AR has received a new post for integration into the full life, in particular with the help of WebAR. The technology is rapidly being introduced into other fields such as commerce, medicine and education. However, other technical challenges include standards for 3D technologies in web applications, which limit the quality and performance of AR applications. Optimizing these applications is an important aspect to improve the user experience and expand the application of AR in various industries. The purpose of this work is the analysis of optimization methods of web applications with augmented reality. The object of research is web applications with augmented reality. The subject of the study is methods of optimizing web applications with augmented reality. The results. The work analyzes methods of optimizing web applications with augmented reality. Conclusion. An analysis of the optimization methods of web applications with augmented reality was carried out.Downloads
References
Khan A., Khusro S. The Rise of Augmented Reality Browsers: Trends, Challenges and Opportunities // Pakistan journal of science. 2015. 67. P. 288-300. DOI: 10.57041/pjs.v67i3.624.
Siriwardhana Y., Porambage P., Liyanage M., Ylianttila M. A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects // IEEE Communications Surveys & Tutorials. 2021. Vol. 23. No. 2. P. 1160-1192. DOI: 10.1109/COMST.2021.3061981.
Parekh P., Patel S., Patel N., Shah M. Systematic Review and Meta-Analysis of Augmented Reality in Medicine, Retail, and Games // Visual Comput. Ind. Biomed. Art. 2020. Vol. 3. No. 1. Article 21. DOI: 10.1186/s42492-020-00057-7.
Butt A., Ahmad H., Muzaffar A., Ali F., Shafique N. WOW, the Make-Up AR App is Impressive: A Comparative Study Between China and South Korea // Journal of Services Marketing. 2022. Vol. 36. No. 1. P. 73-88. DOI: 10.1108/JSM-12-2020-0508.
Li L., Qiao X., Lu Q., Ren P., Lin R. Rendering Optimization for Mobile Web 3D Based on Animation Data Separation and On-Demand Loading // IEEE Access. 2020. Vol. 8. P. 88474-88486. DOI: 10.1109/ACCESS.2020.2993613.
Boutsi A.-M., Ioannidis C., Verykokou S. Multi-Resolution 3D Rendering for High-Performance Web AR // Sensors. 2023. Vol. 23. Article 6885. DOI: 10.3390/s23156885.
Noh H., Song H. HA2RS: HTTP Adaptive Augmented Reality Streaming System // IEEE Trans. Mob. Comput. 2023. Vol. 22. P. 2741–2755. DOI: 10.1109/TMC.2021.3132665.
gLTF Runtime 3D Asset Delivery. Available online: https://www.khronos.org/gltf/ (accessed on 20 October 2024).
Lentz W. R., Brutzman P. D., Kamburelis M. X3D and GlTF Model Differencing for Conversions. Comparison and Conformance Testing // Proceedings of the 26th International Conference on 3D Web Technology. 8 November 2021. P. 1–7. DOI: 10.1145/3485444.3493230.