期刊文献+

面向全景视频的距离测量方法 被引量:3

PANORAMIC VIDEO-ORIENTED DISTANCE MEASUREMENT
下载PDF
导出
摘要 从真实场景的图像中测量距离已成为计算机视觉和图象处理的研究热点。现有的基于单幅透视图像的测量方法,其可测量范围受限于相机视域FOV(Field-of-View)。通过构建待测场景的全景图,扩展了待测场景的可测量范围,但是其测量范围受限于单个固定的相机拍摄点,只能测量在拍摄点可见的全方位场景。通过扩展基于全景图的距离测量方法,提出基于场景全景视频的距离测量方法,测量范围不再局限于单个固定的拍摄点。通过基于此方法开发的软件原型PVMeasure,用户可以在场景的全景视频中进行交互式测量。真实场景测量实验结果表明,方法具有良好的精确度,可满足大多数场合下的测量精度要求。 To measure distances from captured images in real scene has become a hotspot in computer vision and image processing. Current measurement means based on single prospective image has limited measurable scope restricted by the field-of-view (FOV) of camera. By con- structing a panorama of the scene to be measured, the measurable scope of the scene is extended. However, the measurable scope of the scene is limited by the single fixed shooting site and only the panorama scene to be viewed at the shooting site is measurable. In this paper,we pro- pose a method of distance measurement based on scene panoramic video by extending the panorama-based distance measurement method and the measurable scope of scene is no longer limited to a single fixed shooting site. A prototype of software called PVMeasure developed on the basis of this approach allows its user to interactively measure the distances in panoramic video of scene. Experiment results of real scene meas- urement verify that the method offers good accuracy and satisfies the accuracy requirement of measurement in most situations.
作者 汪艺杰
出处 《计算机应用与软件》 CSCD 2010年第9期247-249,253,共4页 Computer Applications and Software
关键词 距离测量 全景视频 结构与运动恢复 Distance measurement Panoramic video Structure and motion recovery
  • 相关文献

参考文献15

  • 1Criminisi A,Reid I,Zisserman A.Single view metrology.IJCV,2000,40(2):123-148.
  • 2Wang G H,Hu Z Y,Wu F C,et al.Single view metrology from scene constraints.Image and Vision Computing,2005,23(9):831-840.
  • 3Nan Jiang,Zhongding Jiang.Distance measurement from single image based on circles[C] //Proc.IEEE ICASSP2007.
  • 4Szeliski R,Shum H-Y.Creating full view panoramic image mosaics and environment maps[C] //Proc.SIGGRAPH.1997:251-258.
  • 5Brown M,Lowe D.Automatic Panoramic Image Stitching using Invariant Features[C] //Proc.IJCV.2007,74(1):59-73.
  • 6Jiang Z D,Jiang N,Wang Y J.Distance Measurement in Panorama[C] //Proc.IEEE 14th.International Conference on Image Processing (ICIP).2007,6:393-396.
  • 7Chen S E.Quicktime VR:An image-based approach to virtual environment navigation[C] //Proc.SIGGRAPH.1995:29-38.
  • 8Kimber D,Foote J,Lertsithichai S.Flyabout:spatially indexed panoramic video[C] //Proc.ACM Multimedia,2001:339-347.
  • 9Uyttendaele M,Criminisi A,Kang S B,et al.[High-quality] image-based interactive exploration of real-world environments.IEEE Computer Graphics and Applications,2004:52-63.
  • 10Szeliski R.Image alignment and stitching:A tutorial.Technical Report MSR-TR-2004-92,Microsoft Research,December 2004.

同被引文献23

引证文献3

二级引证文献8

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