基于多微面光纤面板的仿生复眼图像拼接及定位算法

Image Mosaic and Positioning Algorithms of Bionic Compound Eye Based on Fiber Faceplate

为研究仿生复眼系统的图像拼接以及目标定位技术,使用三维设计制图软件Solid Works对9个光学透镜组成的仿生复眼系统镜头支架进行设计;使用尺度不变特征变换算法对特征点进行提取,通过采用欧氏距离法和随机抽样一致性算法对特征点对进行筛选;采用加权平均法对图像进行融合;根据子眼镜头之间相互交叠的信息,选用了双目测距原理对空间目标进行三维定位。搭建了一套视场角为74.3°的视觉系统,得到了一副大视场的仿生复眼拼接图像,对空间4个不同位置的目标进行了定位,证明此仿生复眼系统能够获取大视场的拼接图像,能够对空间目标进行定位。

In order to study the image mosaic and target location technology of bionic compound eye system, SolidWorks is used to design a lens holder for a bionic compound eye system composed of nine optical lenses. Feature points are extracted using scale-invariant feature transform algorithm. According to the overlapping information between the sub-eye lenses, the binocular distance measurement principle is adopted to locate spatial target in 3D. A vision system with a field of view of 74.3°is built, and a large field-of-view bionic compound eye mosaic image is obtained to locate the target in 4 different positions in space. It is proved that the bionic compound eye system can obtain large field-of-view mosaic images, and can locate the spatial target.