学术论文

多镜头组合型全景相机两种成像模型的定位精度比较

  • 季顺平 ,
  • 史云
展开
  • 1. 武汉大学 遥感信息工程学院, 湖北 武汉 430079;
    2. 中国农业科学院 农业资源与农业区划研究所 农业信息技术重点实验室, 北京 100081;
    3. 东京大学 空间信息科学研究中心, 东京
季顺平(1979-),男,博士,副教授,主要研究方向为航空、航天遥感影像几何处理及地面车载测图系统.jishunping@whu.edu.cn

收稿日期: 2013-05-20

  修回日期: 2014-04-18

  网络出版日期: 2014-12-23

基金资助

国家973计划(2012CB719902);农业部农业信息技术重点实验室开放课题(2012004)

Comparison of Two Sensor Models for Multi-camera Rig System in Measurements

  • JI Shunping ,
  • SHI Yun
Expand
  • 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430049, China;
    2. Key Laboratory of Agri-informatics Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
    3. CSIS, the University of Tokyo, Tokyo, Japan

Received date: 2013-05-20

  Revised date: 2014-04-18

  Online published: 2014-12-23

摘要

根据多镜头组合型全景相机的严格成像机理,分析了广泛采用的全景理想成像模型系统误差的来源,推导出误差分布规律,并深入比较了严格成像模型和理想成像模型之间的差异.首先,分析了理想模型的单片物方定位误差和像方后方交会误差,理论公式表明其误差分布和物像间距及视角大小相关;其次,分析了全景立体像对的理想核线误差,并证明误差受像对间的旋转角和Z坐标影响.最后,分别采用室内、外数据对两种模型的空间后方交会、核线模型、光束法平差进行比较分析.试验结果表明,室外条件下由于物距接近于全景投影面、立体影像间旋转角较小等因素,两种模型的差异很小,且都达到了相当于1像素左右的测量精度;在狭窄的室内条件下,由于物距小、旋转角大等因素,严格模型在测量精度上明显优于理想模型.

本文引用格式

季顺平 , 史云 . 多镜头组合型全景相机两种成像模型的定位精度比较[J]. 测绘学报, 2014 , 43(12) : 1252 -1258 . DOI: 10.13485/j.cnki.11-2089.2014.0169

Abstract

According to a rigorous sensor model for multi-camera rig system, the error sources of the most widely used ideal panoramic sensor model are indicated, error distribution laws are deduced, and comprehensive comparison between the two models are given. First, the resection and 3D localization errors of the ideal model are analyzed respectively in a single panoramic image that shows the correlations both with the object-image distance and the viewing angle. Second, the epipolar errors of the stereo-pairs are analyzed, which are both affected by the rotation angles and z-coordinates of the image points. Finally, the comparative experiments are carried out in space resection, epipolar constraints and bundle adjustment with the two sensor models. The outdoor test shows the difference between the two models is slight, and both models achieve 1 pixel accuracy. In contrast, the indoor test shows that the rigorous model is stricter and produces obviously better measurement accuracy than the ideal model. All the test results are consistent with the deduced analytical error laws of the ideal panoramic sensor model.

参考文献

[1] ANGUELOV D, DULONG C, FILIP D, et al. Google Street View: Capturing the World at Street Level [J]. Computer, 2010, 43(6): 32-38.
[2] XIAO Xiao. High Resolution Panoramic Imaging System and Visual Application [D]. Hangzhou:Zhejiang University, 2009. (肖潇. 高分辨率全景成像系统及其视觉应用研究[D].杭州: 浙江大学, 2009.)
[3] YANG Shaoping, CHEN Xiong, KONG Qingsheng. Image-based Visual Serving for Mobile Robots with Central Panoramic Camera [J]. Computers Engineering and Design, 2010, 31(19):4261-4264. (杨少平,陈 雄,孔庆生. 采用全景相机的移动机器人视觉伺服[J]. 计算机工程与设计, 2010, 31(19):4261-4264.)
[4] IKEDA S, SATO T, YOKOYA N. High-resolution Panoramic Movie Generation from Video Streams Acquired by An Omnidirectional Multi-camera System [C]// Proceedings of IEEE 19 International Conference on Multisensor Fusion and Integration for Intelligent Systems(MFI2003).[S.l.]:IEEE,2003:155-160.
[5] MEI C, BENHIMANE S, MALIS E, et al. Efficient Homography-based Tracking and 3-D Reconstruction for Single-viewpoint Sensors [J]. IEEE Transactions on Robotics, 2008, 24(6): 1352-1364.
[6] GEYER C, DANIILIDIS K. Catadioptric Projective Geometry [J]. International Journal of Computer Vision, 2001, 45(3): 223-243.
[7] BARRETO P, ARAUJO H. Geometric Properties of Central Catadioptric Line Images and Their Application in Calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(1): 1327-1333.
[8] PARIAN A, GRUEN A. Sensor Modeling, Self-calibration and Accuracy Testing of Panoramic Cameras and Laser Scanners [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65: 60-76.
[9] SCHNEIDER D, MAAS H. A Geometric Model for Linear-array-based Terrestrial Panoramic Cameras [J]. Photogrammetric Record, 2006, 21(115): 198-210.
[10] KAESS M, DELLAERT F. Probabilistic Structure Matching for Visual SLAM with A Multi-camera Rig [J]. Computer Vision and Image Understanding, 2010, 114(2): 286-296.
[11] PAYA L, FERNANDEZ L, GIL A, et al. Map Building and Monte Carlo Localization Using Global Appearance of Omnidirectional Images [J]. Sensors, 2010, 10(12): 11468-11497.
[12] GUTIERREZ D, RITUERTO A, MONTIEL J, et al. Adapting A Real-time Monocular Visual SLAM from Conventional to Omnidirectional Cameras [C]// Proceedings of the 11th OMNIVIS in IEEE International Conference on Computer Vision (ICCV).Barcelona:IEEE,2011:343-350.
[13] SILPA ANAN C, HARTLEY R. Visual Localization and Loop-back Detection with A High Resolution Omni-directional Camera [C]//Workshop on Omnidirectional Vision and Camera Networks. [S.l.]: Omnivis,2005.
[14] TARDIF J, PAVLIDIS Y, DANIILIDIS K. Monocular Visual Odometry in Urban Environments Using An Omnidirectional Camera [C]//Proceedings of IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).[S.l.]:IEEE,2008:2531-2538.
[15] JI Shunping, SHI Yun. Image Matching and Bundle Adjustment Using Vehicle-based Panoramic Camera [J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(1): 94-100. (季顺平, 史云. 车载全景相机的影像匹配和光束法平差[J]. 测绘学报, 2013, 42(1): 94-100.)
[16] SHI Yun, JI Shunping, SHI Zhongchao, et al. GPS-supported Visual SLAM with A Rigorous Sensor Model for A Panoramic Camera in Outdoor Environments [J]. Sensors, 2013, 13(1): 119-136.
[17] KANNALA J, BRANDT S. A Generic Camera Model and Calibration Method for Conventional, Wide-angle, and Fish-eye Lenses [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(8): 1335-1340.
[18] SATO T, IKEDA S, YOKOYA N. Extrinsic Camera Parameter Recovery from Multiple Image Sequences Captured by An Omni-directional Multi-camera System [J]. Camera, 2004, 2: 326-340.
[19] SATO T, YOKOYA N. Efficient Hundreds-baseline Stereo by Counting Interest Points for Moving Omni-directional Multi-camera System [J]. Journal of Visual Communication and Image Representation, 2010, 21(5-6):416-426.
[20] LI Deren, ZHENG Zhaobao. Analytical Photogrammetry [M]. Beijing:Suveying and Mapping Publications, 1992. (李德仁, 郑肇葆. 解析摄影测量学[M]. 北京:测绘出版社, 1992.)
[21] KANG Zhizhong, ZHANG Zuxun, YANG Fanlin. Relative Orientation and Epipolar Arrangement Based on Forward Moving Image Pairs along the Optical Axis [J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(1): 56-61. (康志忠, 张祖勋, 阳凡林. 基于沿主光轴方向摄影立体像对的相对定向与核线排列[J]. 测绘学报, 2007, 36(1): 56-61.)
文章导航

/