Real-time depth of field effect simulation based on UE4

Tan Su; Xiuwen Liu

doi:10.1117/12.2636796

29 April 2022 Real-time depth of field effect simulation based on UE4

Tan Su, Xiuwen Liu

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122471N (2022) https://doi.org/10.1117/12.2636796
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

The simulation of physical lens effects can intuitively and effectively reproduce the effects that may appear in real lenses, and the real-time depth of field effect of the lens plays an important role in the virtual test of the unmanned ship. Aiming at the authenticity and real-time nature of the current physical lens effect simulation, this paper develops a real-time depth of field effect simulation based on UE4, Applied to virtual test environment perception of unmanned ship. The algorithm uses the visual blueprint programming of UE4 and HLSL code to simulate the depth of field effect. Experimental results show that the algorithm can simulate the depth of field effect well.

Citation Download Citation

Tan Su and Xiuwen Liu "Real-time depth of field effect simulation based on UE4", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122471N (29 April 2022); https://doi.org/10.1117/12.2636796

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