Ship Stern Wave Reconstruction from Single Viewpoint Video

Authors

Yafei Guo, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;
Yichao Yao, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;
Lu Ying, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;
Zhiyong Su, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;

Abstract

Abstract: To simulate the ship track in the marine virtual battle environment, a novel algorithm based on the single viewpoint video was proposed to reconstruct the ship stern wave. Gaussian filter was used to preprocess the video image and extract the long tail region from the video image; SFS algorithm was employed to compute the height field of the ship stern wave and generate its grid mesh; The normal of each vertex was computed based on the CUDA technology. The experimental results show that the reconstructed stern wave yields a good sense of reality. At the same time, it improves the stern wave reconstruction speed while achieving a balance between the realistic and real-time rendering performance to meet actual needs.

Recommended Citation

Guo, Yafei; Yao, Yichao; Ying, Lu; and Su, Zhiyong (2020) "Ship Stern Wave Reconstruction from Single Viewpoint Video," Journal of System Simulation: Vol. 27: Iss. 10, Article 37.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss10/37

First Page

2475

Revised Date

2015-08-07

DOI Link

https://doi.org/

Last Page

2482

CLC

TP391.9

Recommended Citation

Guo Yafei, Yao Yichao, Lu Ying, Su Zhiyong. Ship Stern Wave Reconstruction from Single Viewpoint Video[J]. Journal of System Simulation, 2015, 27(10): 2475-2482.