Designing camouflage scheme by modeling 3D virtual battlefield environment

Di Yang; Zhenping Xie

doi:10.1117/12.2660415

3 February 2023 Designing camouflage scheme by modeling 3D virtual battlefield environment

Di Yang, Zhenping Xie

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125113H (2023) https://doi.org/10.1117/12.2660415
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

A camouflage design strategy based on battlefield environment twinning is proposed to address the camouflage concealment of military equipment in a realistic battlefield environment. The strategy is based on the construction of a three-dimensional battlefield environment digital twin model, and by synthesizing the digital camouflage based on the background primary color and natural camouflage decoration, a camouflage design scheme with a higher camouflage success rate can be generated to fit the realistic battlefield environment. A neural network-based image segmentation network and a target detection network are used to evaluate the performance of the camouflage design scheme. The experiment results show that the camouflage design strategy proposed in this paper has better interference and confrontation with detection technology, and it can provide the most adaptable camouflage design scheme for the target object in the real battlefield environment, which has strong practical value and strategic significance.

Citation Download Citation

Di Yang and Zhenping Xie "Designing camouflage scheme by modeling 3D virtual battlefield environment", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125113H (3 February 2023); https://doi.org/10.1117/12.2660415

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