期刊文献+

全向立体成像系统场景深度估计 被引量:1

Scene depth estimation of omni-directional stereo imaging system
在线阅读 下载PDF
导出
摘要 基于单相机双抛物面反射镜设计了一种共轴结构的折反射全向立体成像装置,给出了针对相应展开柱面全景立体图像对深度估计的应点匹配方法,最后通过3DMax构造相应虚拟装置和虚拟场景进行了仿真实验,初步证明了该结构设计和对应深度估计方法的有效性。 The configuration of a coaxial catadioptric omni-directional stereo imaging system using one camera and two parabolic reflectors is designed,and a corresponding stereo depth estimation method for cylindrical panorama pairs is discussed also.The simulated experiment based on the 3d Max virtual equipment and virtual scenes shows the validity of the designed system configuration and the corresponding depth estimation method.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第31期161-164,171,共5页 Computer Engineering and Applications
基金 国家自然科学基金No.60773023 No.60705013 No.60872150~~
关键词 立体视觉 折反射全向成像 深度估计 stereo vision catadioptric omni-directional imaging depth estimation
  • 相关文献

参考文献17

  • 1Olson C F,Mathics L H.Maximum likelihood rover localization by matching range maps[C]//IEEE International Conference on Robotics and Automation, 1998:272-277.
  • 2肖潇,杨国光.全景成像技术的现状和进展[J].光学仪器,2007,29(4):84-89. 被引量:37
  • 3Benosman R, Kanf S B.Panoramic vision sensors,theory and applications[M].[S.l.] : Springer, 2001.
  • 4Bunschoten R,Krose B.Robust scene reconstruction from an omnidirectional vision system[J].IEEE Transactions on Robotics and Automation, 2003,19(2) : 351-357.
  • 5Ma Jian-Guang,Jia Yun-De.Wavelet-based resolution enhancement of omnidirectional images[C]//Proceedings the 15th International Conference on Vision Interface, Calgray, Canada 2002 : 125-132.
  • 6Gluckman J,Nayar S K,Thorek K.Real-time omnidirectional and panoramic stereo[C]//Proceedings of DARPA Image Understanding Workshop.Washington,DC,USA:Publisher IEEE Computer Society, 1998 : 299-303.
  • 7Koyasu H, Miura J, Shirai Y.Recognizing moving obstacles for robot navigation using real-time omnidirectional stereo vision[J].Journal of Robotics and Mechatronics,2002,14(2) : 147-156.
  • 8Southwell M F D,Basu A,Reyda J.Panoramic stereo[C]//Proceedings of International Conference on Pattern Recognition,Vienna, Austria, 1996 : 375-382.
  • 9Canroy L,Moore J B.Resolution invariant surfaces for panoramic vision systems[C]//Proceediugs of IEEE International Conference on Computer Vision,Kerkyra,Corfu,Greece, 1999:392-397.
  • 10Cabral E L L,Souza J C,Hunold M C,et al.Omnidirectional stereo vision with a hyperbolic double lobed mirror[C]//Proceedings of IEEE International Conference on Pattern Recognition, Cambridge, United Kingdom, 2004 : 1-4.

二级参考文献45

  • 1谭志刚,白剑,杨国光.全景环形成像的嵌入式处理系统[J].光学仪器,2005,27(5):118-122. 被引量:5
  • 2侯慧杰,白剑,杨国光.全景环形透镜三维空间成像展开算法的研究[J].光学仪器,2005,27(6):43-47. 被引量:10
  • 3Shimada D,Tanahashi H,Kato K,Yamamoto K.Extract and display moving object in all directions by using stereo omnidirectional system (SOS).In:Proceedings of International Conference on 3-D Digital Imaging and Modeling,Quebec City,Canada:IEEE Computer Society,2001.42~47.
  • 4Baker S,Nayar S K.A theory of single-viewpoint catadioptric image formation.International Journal of Computer Vision,1999,35(2):175~196.
  • 5Shah S,Aggarwal J.Intrinsic parameter calibration procedure for a (high-distortion) fish-eye lens camera with distortion model and accuracy estimation.Pattern Recognition,1996,29(11):1775~1788.
  • 6Chahl J S,Srinivassan M V.Reflective surfaces for panoramic imaging.Applied Optics,1997,36(31):8275~8285.
  • 7Yamazawa K,Yagi Y,Yachida M.Omnidirectional imaging with hyperboloidai projection,In:Proceedings of IEEE/RSJ International Conference Intelligent Robots and Systems,Yokonana,Japan,1993.1029~1034.
  • 8Gaspar J G,Decco C,Okamoto Jr J,Victor J S.Constant resolution omnidirectional cameras,In:Proceedings of the 2nd Workshop on Omnidirectional Vision,Camera Networks and Non-classical cameras,Copenhagen,Copenhagen,Denmark:2002.27~34.
  • 9Roland Bunschoten,Ben Krose.Robust scene reconstruction from an omnidirectional vision system.IEEE Transactions on Robotics and Automation,2003,19(2):351~357.
  • 10Ma Jian-Guang,Jia Yun-De.Wavelet-based resolution enhancement of omnidirectional images.In:Proceedings the 15th International Conference on Vision Interface.Calgray,Canada:2002.125~132.

共引文献85

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部