| 摘要: |
| 针对视觉导航系统对小型化、超分辨成像和近程立体视觉的需求，研究了一种基于微端面光纤面板的大视场紧凑型仿生复眼成像系统。利用视轴发散的微小型透镜组进行大视场成像，并以切削斜端面的光纤面板进行图像传输，将大面阵(5120×5120像素)CMOS相机与光纤面板后端面直接耦合实现图像输出，可实现9个视场部分重叠子孔径图像同步实时输出和采集。在实时化拼接处理中，利用CUDA并行加速方法进行图像拼接，单帧的拼接耗时小于30ms。视场部分重叠复眼成像模式还可配置偏振片或滤光片构成全偏振或多光谱成像，在天空偏振光导航、无人机紧急避障、弹载侦察、近程引信以及水下无人潜航器导航等领域具有广泛的应用前景。 |
| 关键词: 仿生复眼 多微端面光纤面板 CMOS耦合 多孔径成像 CUDA 并行加速 实时拼接 |
| DOI： |
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| 基金项目:装备预先研究项目(41417070401, 30102070103) |
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| A Large-field-of-view Compact Bionic Compound Eyes Imaging System Research |
| QIU Su,XUE Jia-an,WANG Xia,LI Lei-lei,CHEN Jia-bin |
| (Key Lab of Optoelectronic Imaging Technology and System, Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China;School of Automation， Beijing Institute of Technology, Beijing 100081, China) |
| Abstract: |
| According to the requirements of visual navigation system, that is miniaturization, super-resolution and short-distance stereovision, a large field of view(FOV) compact bionic compound eyes imaging system based on micro-surface fiber faceplate is studied. The bionic compound eyes imaging system uses nine micro-lens-groups with divergent-angled lines-of-sight for large FOV imaging, and uses the optical fiber panel with oblique cutting micro-surface for image transmission. The large area(5120×5120pixels) CMOS camera is directly coupled with rear surface of the optical fiber panel for image output. It can realize nine partially overlapping FOVs sub-aperture imaging with synchronized output. The CUDA parallel acceleration method is used to achieve real-time large-FOV image stitching. With polarizers or filters, the compound eyes partial-overlap-of-fields imaging mode can implement full-polarization imaging or multispectral imaging. And it could have broad application prospects in the fields of sky-polarized-light navigation, obstacle emergency avoidance, missile reconnaissance with short-range fuse control, and underwater unmanned submarine navigation. |
| Key words: Bionic compound eyes Multi-surface fiber faceplate CMOS coupling Multi-aperture imaging CUDA parallel acceleration Real-time stitching |
