Flusser, J., Farokhi, S., Höschl, C., et al. (2015) Recognition of Images Degraded by Gaussian Blur. IEEE Transactions on Image Processing, 25, 790-806.
https://doi.org/10.1109/TIP.2015.2512108

has been cited by the following article:

• TITLE: Research and Application of Caideng Model Rendering Technology for Virtual Reality

  AUTHORS: Xuefeng Wang, Yadong Wu, Yan Luo, Dan Luo

  KEYWORDS: Virtual Reality, Caideng Model, Lighting Model, Point Light Rendering

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.4, April 22, 2024

  ABSTRACT: With the development of virtual reality (VR) technology, more and more industries are beginning to integrate with VR technology. In response to the problem of not being able to directly render the lighting effect of Caideng in digital Caideng scenes, this article analyzes the lighting model. It combines it with the lighting effect of Caideng scenes to design an optimized lighting model algorithm that fuses the bidirectional transmission distribution function (BTDF) model. This algorithm can efficiently render the lighting effect of Caideng models in a virtual environment. And using image optimization processing methods, the immersive experience effect on the VR is enhanced. Finally, a Caideng roaming interactive system was designed based on this method. The results show that the frame rate of the system is stable during operation, maintained above 60 fps, and has a good immersive experience.