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
张春美1,2,龚志辉1,孙 雷1
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ZHANG Chun-mei1,2,GONG Zhi-hui1,SUN Lei1
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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
张春美1,2,龚志辉1,孙 雷1. 改进SIFT特征在图像匹配中的应用[J]. 计算机工程与应用, 2008, 44(2): 95-97.
ZHANG Chun-mei1,2,GONG Zhi-hui1,SUN Lei1. Improved SIFT feature applied in image matching[J]. Computer Engineering and Applications, 2008, 44(2): 95-97.
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http://cea.ceaj.org/CN/Y2008/V44/I2/95