| SIFT特征匹配算法研究 |
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| 引用本文： | 王国美,陈孝威.SIFT特征匹配算法研究[J].盐城工学院学报(自然科学版),2007,20(2):1-5,10. |
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| 作者姓名： | 王国美 陈孝威 |
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| 作者单位： | 贵州大学,计算机科学与技术学院,贵州,贵阳,550025 |
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| 摘 要： | SIFT特征匹配算法是目前特征匹配研究领域的热点,其匹配能力较强,可以处理图像间发生平移、旋转、仿射变换的匹配,对任意角度拍摄的图像也具备较稳定的特征匹配能力。实验结果表明,该算法具有较强的匹配能力和鲁棒性,是一种较好的特征匹配算法。
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| 关 键 词： | 虚拟现实 特征匹配 图像拼接 全景图 |
| 文章编号： | 1671-5322（2007）02-0001-05 |
| 修稿时间： | 2006-12-21 |
Study on a Naw Algorithm of Feature Matching-SIFT |
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| WANG Guo-mei,CHEN Xiao-wei.Study on a Naw Algorithm of Feature Matching-SIFT[J].Journal of Yancheng Institute of Technology(Natural Science Edition),2007,20(2):1-5,10. |
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| Authors: | WANG Guo-mei CHEN Xiao-wei |
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| Institution: | College of Computer Science and Technology, Guizhou University,Guizhou Guiyang 550025, China |
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| Abstract: | A new algorithm of feature matching-SIFT(Scale Invariant Feature Transform) which has become a hot topic and difficult research area is introduced.At present the algorithm,whose matching ability is more strong and can dispose of matching problem with translation,rotation and affine distortion between images and to a certain extent is with more stable feature matching ability for images which are shot from random different angles.The experiments show that the algorithm is of stronger matching ability and robustness,which is a better feature matching algorithm. |
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| Keywords: | virtual reality feature matching image mosaicing panorama |
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