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文章基本信息

  • 标题:A Comparison and Matching Point Extraction of SIFT and ISIFT
  • 本地全文:下载
  • 作者:-A. Swapna ; A. Geetha Devi
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2013
  • 卷号:4
  • 期号:6
  • 页码:1026-1033
  • 出版社:Technopark Publications
  • 摘要:This paper presents the performance comparison of feature matching algorithms SIFT (scale invariant feature transform) and ISIFT (Iterative scale invariant feature transform). In SIFT, invariant feature key points of an images are extracted to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation. In ISIFT for accurate matching of images, the relative view and illumination between the images estimated iteratively. The matching performance not effected by view and illumination changes in a threshold ranges. The threshold values reflects the maximum allowable change in view and illumination between the images. After comparison of SIFT and ISIFT matching algorithms, the results shows that the ISIFT algorithm consists of accurate matching rate and scale invariant to illumination change
  • 关键词:image matching; view threshold; illumination threshold; ISIFT (iterative-SIFT).
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