光子学报, 2016, 45 (5): 0512003, 网络出版: 2016-06-06   

基于大视场人工复眼定位技术

Study of Large Field of View Compound-eye Orientation Technology
作者单位
1 西南交通大学 机械工程学院 机电测控系, 成都 610000
2 中国科学院光电技术研究所, 成都 610209
摘要
针对大视场目标探测提出了一种基于人工复眼大视场定位方法.通过分析子眼视场角与总视场角之间的关系, 并结合多目视觉定位对子眼排布方式的要求, 研究了包含多个子眼的人工复眼结构设计方法.通过分析子眼图像与三维空间映射关系, 对二维图像进行裁剪并映射于三维立体空间, 实现了二维子眼图像在三维空间的大视场拼接.利用子眼图像坐标、空间三维坐标及系统参数间的关系, 建立了空间点多目定位数学模型, 并编制目标定位算法.制备了包含19个子眼可实现120°大视场角的样机, 通过张正友标定法获得系统参数, 并进行目标定位实验.实验结果表明, 使用设计的人工复眼大视场成像系统对5.35m处目标进行探测, 定位误差为0.19%.
Abstract
Aiming at the target detection in a large field of view, a localization method was presented based on the artificial compound-eye. By analyzing the relationship between the sub eye Field of View angle and the total Field of View angle, combining with the consideration about the sub eye arrangement of multi-vision positioning, the designed method of artificial compound eye structure was studied which contains multiple sub eyes and can realize the detection in a large field of view. To analyze the three-dimensional space mapping law, the two dimensional images were cropped and mapped to 3D space, and the large field of view in 3D space was realized. To analyze the relationship between the sub image coordinates and the three-dimensional coordinates, the mathematical model of multi vision object location was established and the target location algorithm was compiled. A prototype was manufactured which contains of 19 sub eyes and can achieve 120 degree angle of large field of view, and the system parameters were obtained by Zhang Zheng-you calibration method. Then we carried out the 3D localization experiments. Experimental results show that the positioning error is 0.19% when we use the artificial compound eye imaging system to detect the target in 5.35 m.

郭书基, 史立芳, 曹阿秀, 吴向东, 邓启凌. 基于大视场人工复眼定位技术[J]. 光子学报, 2016, 45(5): 0512003. GUO Shu-ji, SHI Li-fang, CAO A-xiu, WU Xiang-dong, DENG Qi-ling. Study of Large Field of View Compound-eye Orientation Technology[J]. ACTA PHOTONICA SINICA, 2016, 45(5): 0512003.

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