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  • 标题:Comparison of Various Feature Detectors and Outliers Removal
  • 本地全文:下载
  • 作者:Ann Therese Francy ; D. Raveena Judie Dolly ; Renu Maria Mathews
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:4
  • 页码:697-701
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Image registration is the process in which two or more images of the same scene taken at different times are overlayed. For registering two images, preliminary steps are feature detection, matching and control point detection. For feature detection and matching there are many point detectors. The common among them are Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF).The control points are detected using SIFT, SURF, Correlation based matching and then the results are compared using the number of keypoints and matches and the results are considered for further process. Then the outliers are removed by using RANSAC algorithm.
  • 关键词:Image Registration;SIFT;SURF;RANSAC
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