Research on 3D Dynamic Imaging Algorithm for Digital Camouflage

doi:10.3969/j.issn.1000-1093.2016.01.016

Abstract

Abstract: The current digital camouflage is not able to withstand the future high-tech reconnaissance and monitoring due to its planarity and inalterability. To address the issue， a 3D dynamic imaging algorithm based on lenticular raster is proposed. The proposed algorithm fully takes the biological characteristics of human binocular stereo imaging and the optical characteristics of splitting light and imaging of lenticular raster into account to describe the feasibility of 3D dynamic digital camouflage. On this basis, the parallax design principle of 3D dynamic imaging for digital camouflage is deduced, and the multiple sequence diagrams are generated according to depth information of background. The comb function is used to sample and synthesize the sequence diagrams. The resultant raster image could be mounted on the back of a grating plate to achieve 3D dynamic imaging. The simulation results show that the proposed algorithm can be used for the 3D dynamic imaging of digital camouflage.

Key words: ordanace science and technology, camouflage, digital camouflage, 3D dynamic imaging, lenticular raster, parallax

CLC Number:

E951.4

WU Guo-jing, LYU Xu-liang，XU Wei-dong, LI Ling, WENG Xiao-di. Research on 3D Dynamic Imaging Algorithm for Digital Camouflage[J]. Acta Armamentarii, 2016, 37(1): 103-108.

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