非球面折反射全景成像系统设计
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摘要
介绍了折反射全景成像的工作原理,给出了折反射全景成像系统尺寸的计算方法,还对单视点成像系统做了理论分析与优化设计。由于折反射全景成像系统产生的畸变较大,因此可以通过设计反射镜的面型有效地控制系统的畸变量。利用Zemax软件进行仿真,设计了一款以高阶非球面为反射镜的全景镜头,有效矫正了系统的像差,同时畸变率也下降在50%以下,最后对光学系统进行了像质评价。该系统的视场角为360°×(-50°～15°),探测器的频率在120p/mm处以内的MTF均在0.2范围内,非常适用于视频监控和安防领域中。
The working principle of catadioptric panorama image was introduced. The calculation method of the size of the catadioptric Panorama Image system was given. The theoretical analysis and optimization design of the single vision image system were also made. Since the distortion generated by the catadioptric panoramic image system was large,the amount of distortion of the system could be effectively controlled by designing the shape of the mirror. Using Zemax software to simulate,a panoramic lens with high-order aspherical mirror as the mirror was designed to effectively correct the aberration of the system,and the distortion rate also dropped below 50%. Finally,the optical system was evaluated. The system's field of view was 360°×(-50°～15°). The MTF of the detector was within the range of 0.2 at 120p/mm,which was very suitable for video surveillance and security.
The working principle of catadioptric panorama image was introduced. The calculation method of the size of the catadioptric Panorama Image system was given. The theoretical analysis and optimization design of the single vision image system were also made. Since the distortion generated by the catadioptric panoramic image system was large,the amount of distortion of the system could be effectively controlled by designing the shape of the mirror. Using Zemax software to simulate,a panoramic lens with high-order aspherical mirror as the mirror was designed to effectively correct the aberration of the system,and the distortion rate also dropped below 50%. Finally,the optical system was evaluated. The system's field of view was 360°×(-50°～15°). The MTF of the detector was within the range of 0.2 at 120p/mm,which was very suitable for video surveillance and security.
引文
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[2]Conroy T L,Moore J B.Resolution Invariant Surfaces for Panoramic Vision System[C].Proceedings of IEEE International Conference on Computer Vision,ZEEE,1999:392-397.
[3]叶良波.基于3D全景视觉的智能三维立体摄像设备的设计[D].浙江:浙江工业大学,2013.
[4]韩笑,廖粤峰.基于平面二次曲线的非单视点全景相机标定方法[J].计算机与现代化,2015(7):59-64.
[5]徐岸,贾云得,王立忠.基于双曲面镜的全向摄像机实际实现方法[J].北京理工大学学报,2004,24(1):82-85.
[6]吴玉媚.柱形物体360°环视装置设计方法研究[D].哈尔滨:哈尔滨工业大学,2016.
[7]Sloum H Y,Szelinski R.Systems and experiment paper:construction of panoramic image mosaics with global and local alignment[M].Kluwer Academic Publishers,2000.
[8]刘影,潘文平,张赵行.360度可环视全屏体三维显示系统[J].光电工程,2011,38(11):124-129.
[9]Swaminathan R,Grossberg M D,Nayar S K.Non-Single Viewpoint Catadioptric Cameras:Geometry and Analysis[J].International Journal of Computer Vision,2006,66(3):211-229.
[10]陈光,任志良,孙海柱.最小二乘曲线拟合及Matlab实现[J].兵工自动化,2005,24(3):107-108.