Virtual Reality Image Generation and Enhancement Based on Real-Time Model Simplification

Author:

Luo Lilei

Publisher

Springer Nature Singapore

Reference7 articles.

1. Nagel, H.: VR++ and its application for interactive and dynamic visualization of data in virtual reality. In: Advances in Visual Computing. Springer International Publishing, pp. 125–165 (2020)

2. Koulieris, G.A., Akş, K., Stengel, M., et al.: Near-eye display and tracking technologies for virtual and augmented reality. Comput. Graph. Forum: J. Eur. Assoc. Comput. Graph. 41(1), 1026–1123 (2022)

3. Rieder, J., Tol, D., Aschenbrenner, D.: Effective close-range accuracy comparison of Microsoft HoloLens generation one and two using Vuforia image targets. In: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), March 2021, pp. 456–489 (2021)

4. Neto, A., Campello, R.M.: Chess position identification using pieces classification based on synthetic images generation and deep neural network fine-tuning. In: 21st Symposium on Virtual and Augmented Reality (SVR), pp. 249–302 (2019)

5. Yi, Z., Liu, L., Zhang, J., et al.: Gradient domain based processing method for image synthesis. In: International Conference on Virtual Reality and Visualization (ICVRV), pp. 320–356 (2019)

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