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| SIFT特征匹配算法研究 |
| Study on a Naw Algorithm of Feature Matching-SIFT |
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| DOI：10.3969/j.issn.1671-5322.2007.02.001 |
| 中文关键词: 虚拟现实 特征匹配 图像拼接 全景图 |
| 英文关键词: virtual reality feature matching image mosaicing panorama |
| 基金项目:教育部春晖计划项目 |
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| 摘要点击次数: 4221 |
| 全文下载次数: 3867 |
| 中文摘要: |
| 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. |
| 英文摘要: |
| 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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