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Measurement method for cluster warhead’s dispersion area based on binocular stereo vision technique


 

XUE Ying-juan1,2, HAO Li-hua1,2

 

(1. Science and Technology on Electronic Test & Measurement Laboratory,North University of China,Taiynan 030051, China; 2. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China)

 

References

 

[1]KONG Wei-hong, JIANG Chun-lan, WANG Zai-cheng. Study for bomblets distribution on ground of aerial cluster bomb. Journal of Aero Weaponry, 2005, 4: 43-46.
[2]HANG Gui-yun, YU Wen-li, WANG Tao, et al. Motion simulation of cluster warhead based on MATLAB. Advanced Materials Research, 2014, 1051: 951-955.
[3]YU Jie, Ge Yu-min, Li Bao-shu, et al. Spatial point reconstruction based on binocular stereo vision. Advanced Materials Research, 2014, 962: 2809-2813.
[4]ZHANG Hai-jun, LIU Chang-jie, FU Lu-hua, et al. Field calibration of binocular stereo vision based on fast reconstruction of 3D control field. In: International Conference on Optical Instruments and Technology, International Society for Optics and Photonics, 2015, 96230I: 1-9.
[5]FAN Xin-jian, LIU Xiao-gang, WANG Xue-lin, et al. An automatic robot unstacking system based on binocular stereo vision. In: IEEE International Conference on Security, Pattern Analysis, and Cybernetics(SPAC), 2014: 86-90.
[6]Heikkila J. Geometric camera calibration using circular control points. In: IEEE Transactions on Pattern Analysis and Machine, 2000, 22(10): 1066-1077.
[7]Hagedoorn M. Pattern matching using similarity measures. PhD thesis. Utrecht: Universiteit Utrecht, 2000.
[8]Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 2002, 47(1-3): 7-42.
[9]De-Maeztu L, Villanueva A, Cabeza R. Stereo matching using gradient similarity and locally adaptive support-weight. Pattern Recognition Letters, 2011, 32(13): 1643-1651.

 

基于双目立体视觉技术的子母弹抛撒面积测量方法研究

 

薛英娟1,2, 郝利华1,2

 

(1. 中北大学 电子测试技术重点实验室, 山西 太原 030051;2. 中北大学 信息与通信工程学院, 山西 太原 030051)

 

摘要:子母弹已成为枪、 火箭弹和导弹增强火力的一种军需品, 且已几乎广泛装备于所有国家。 子母弹的杀伤效果已引起越来越多的关注。 子母弹的散射面积是评估其杀伤效果的主要标准。 论文提出了一种基于双目立体视觉测量理论的子母弹抛撒面积的测试方法, 研究了双目立体摄像机的标定原理。 依赖于相邻像素梯度场的匹配算法是通过采集双目相机左和右图像的一对数据点来得到匹配点的空间信息, 从而计算出子母弹飞行路径的3D空间位置。 论文采用与静爆子母弹抛撒轨迹相似的雨伞进行室内拍摄实验, 得到了雨伞对地面的投影面积。 仿真实验结果验证了所提出方法的可行性。

 

关键词:双目立体视觉; 子母弹; 抛撒面积

 

引用格式:XUE Ying-juan, HAO Li-hua. Measurement method for cluster warhead’s dispersion area based on binocular stereo vision technique. Journal of Measurement Science and Instrumentation, 2016, 7(2): 123-128. [doi: 10.3969/j.issn.1674-8042.2016.02.005]

 

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