期刊文献+

宽基线图像特征点的立体匹配 被引量:3

Feature matching from wide baseline stereo images
下载PDF
导出
摘要 为了实现宽基线图像特征点的自动立体匹配,结合目前已有的算法,提出了一种新的分层匹配算法来获取最初的匹配点集,实现了基于对极几何约束的图像特征点自动提取及自动匹配。 In order to make the feature points automated stereo matching, this paper proposed a new hierarchical algorithm for obtaining an initial correspondence set, and implemented a feature automated extracting and matching method based upon epipolar constraints.
出处 《计算机应用研究》 CSCD 北大核心 2008年第12期3690-3691,共2页 Application Research of Computers
基金 广西科学研究与技术开发计划资助项目(0718007A-20)
关键词 宽基线 线段提取 特征点匹配 立体匹配 wide baseline segment extraction feature matching stereo matching
  • 相关文献

参考文献7

  • 1TISSAtNAYAGAM P,SUTER D. Assessing the performance of corner detectors for point feature tracking applications [ J ]. Image and Vision Computing,2004,22(8) :663-679.
  • 2GONZALEZ R, WOODS R. Digital image processing [ M ]. 2nd ed. Englewood Cliffs, NJ : Prentice Hall, 2002.
  • 3PHAM D L, XU Chan-yang, PRINCE J L. A survey of current methods in medical image segmentation [ J]. Annual Review Biomedical En- gineeing ,2000,2(8 ) :315-337.
  • 4HAN J H, PARK J S. Contour matching using epipolar geometry [ J ]. IEEE Trans on Analysis and Machine Intelligence,2000,22 (4) : 358-3?0.
  • 5ZHANG Zheng-you, DERICHE R, FAUGERAS O, et al. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry [ J]. Artificial Intelligence, 1995, 78:87-119.
  • 6XU Gang, TERAI J, SHUM H Y. A linear algorithm for camera self- calibration, motion and structure recovery for multi-planar scenes from two perspective Images [ C]//Proc of Computer Vision and Pattern Recognition. South Carolina: [ s. n. ] ,2000:474-479.
  • 7LU Yu-zhu, SMITH S. A comprehensive tool for recovering 3D models from 2D photos with wide baselines[ J]. Journal of Computing and Information Science in Enginoering,2006,6:372-380.

同被引文献16

  • 1陈君,戚飞虎.一种新的基于特征点的立体匹配算法[J].中国图象图形学报,2005,10(11):1411-1414. 被引量:7
  • 2Linda G.Shapiro George C.Stockman [美]赵清杰等译计算机视觉[M].北京:机械工业出版社,2004.
  • 3SIZINTSEV M,WILDES R P.Coarse-to-fine stereo vision with accu-rate 3D boundaries[J].Image and Vision Computing,2010,28(3):352-366.
  • 4DELON J,ROUGE B.Small baseline stereovision[J].Journal ofMathematical Imaging and Vision,2007,28(3):209-223.
  • 5IGUAL L,PRECIOZZI J,GARRIDO L,et al.Automatic low baselinestereo in urban areas[J].Inverse Problems and Imaging,2007,1(2):319-348.
  • 6MORGAN G,LIU Jian,YAN Hong-shi.Sub-pixel stereo-matching forDEM generation from narrow baseline stereo imagery[C]//Proc ofIEEE International Geoscience&Remote Sensing Symposium.Bos-ton:IEEE Press,2008:1284-1287.
  • 7SABATER N,BLANCHET G,MOISAN L,et al.Review of low-base-line stereo algorithms and benchmarks[C]//Image and Signal Pro-cessing for Remote Sensing XVI.[S.l.]:IEEE Press,2010:1-12.
  • 8陈智,江锐.浅谈图像匹配研究[J].中国高新技术企业,2007(16):103-103. 被引量:5
  • 9刘立,彭复员,赵坤,万亚平.采用简化SIFT算法实现快速图像匹配[J].红外与激光工程,2008,37(1):181-184. 被引量:92
  • 10张连怡,王爱平,万国伟,李思昆.基于SIFT的三视图像特征匹配算法[J].计算机工程,2008,34(13):177-179. 被引量:19

引证文献3

二级引证文献5

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