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Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling

Author

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  • Hui Yang
  • Qiuming Liu
  • Miaochao Chen

Abstract

3D modeling is the most basic technology to realize VR (virtual reality). VOS (video object segmentation) is a pixel-level task, which aims to segment the moving objects in each frame of the video. Combining theory with practice, this paper studies the process of 3D virtual scene construction, and on this basis, researches the optimization methods of 3D modeling. In this paper, an unsupervised VOS algorithm is proposed, which initializes the target by combining the moving edge of the target image and the appearance edge of the target and assists the modeling of the VR 3D model, which has reference significance for the future construction of large-scale VR scenes. The results show that the segmentation accuracy of this algorithm can reach more than 94%, which is about 9% higher than that of the FASTSEG method. 3D modeling technology is the foundation of 3D virtual scene; so, it is of practical significance to study the application of 3D modeling technology. At the same time, it is of positive significance to use the unsupervised VOS algorithm to assist the VR 3D model modeling.

Suggested Citation

  • Hui Yang & Qiuming Liu & Miaochao Chen, 2022. "Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling," Advances in Mathematical Physics, Hindawi, vol. 2022, pages 1-11, October.
    • Handle: RePEc:hin:jnlamp:4743456
    DOI: 10.1155/2022/4743456
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