计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (2): 95-97.

• 学术探讨 • 上一篇    下一篇

改进SIFT特征在图像匹配中的应用

张春美1,2,龚志辉1,孙 雷1   

  1. 1.信息工程大学 测绘学院,郑州 450052
    2.73603部队,南京 212003
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-01-11 发布日期:2008-01-11
  • 通讯作者: 张春美

Improved SIFT feature applied in image matching

ZHANG Chun-mei1,2,GONG Zhi-hui1,SUN Lei1   

  1. 1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China
    2.73603 Army Unit,Nanjing 212003,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-01-11 Published:2008-01-11
  • Contact: ZHANG Chun-mei

摘要: 对SIFT算法进行研究,针对SIFT特征描述符的高维数和高复杂度问题,进行了改进。通过对大量的不同类型的图像进行特征匹配实验,实验结果表明,当图像存在不同程度的几何变形、辐射畸变和噪声影响时,改进后的算法更稳定、更快速。

关键词: SIFT算法, 尺度空间, 特征描述符, 特征匹配

Abstract: The principle of SIFT method is researched,then an improved SIFT points feature descriptor is proposed,aiming to the problem of its high dimension and complexity.Numerous experiments have been conducted for different type of images existing geometrical distortion and radiative distortion as well as noise impaction.The results show that the proposed method is more stable and fast.

Key words: SIFT method, scale space, feature descriptor, region matching