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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第2期95-97,共3页
Computer Engineering and Applications
