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200747918278555
- Distinctive Image Features from Scale-Invariant Keypoints-Distinctive Image Features from Scale-In variant Keypoints
SIFT
- Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。 -Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个
gaussianss
- 进行特征匹配，选用的是sift算法，该算法匹配能力较强-Distinctive Image Features from Scale-Invariant Keypoints
SIFT
- 两份SIFT的重要资料：Distinctive Image Features from Scale-Invariant Keypoints（by David G. Lowe）,SIFT特征匹配技术讲义(by 赵辉)-SIFT two important information: Distinctive Image Features from Scale-Invariant Keypoints (by David G. Lowe), SIFT feature matching technical
SIFT
- SIFT 图像匹配经典 Distinctive Image Features from Scale-Invariant Keypoints -classic papers of SIFT image matching Distinctive Image Features from Scale-Invariant Keypoints
aaaDistinctive---Image---Features
- 英文资料 Distinctive Image Features from Scale-Invariant Keypoints-aaaDistinctive Image Features from Scale-Invariant Keypoints_2004 by David lowe
DistinctivePimagePfeatures
- Distinctive image features from scale invariant keypoints
DIF-from-SIFTKeypoints
- SIFT 特征描述符 尺度空间 高斯差分 关键点 图像压缩-Distinctive Image Features from Scale-Invariant Keypoints
SIFT
- SIFT(Scale Invariant Feature Transform)即尺度不变特征变换，是 D. G.Lowe 在 1999 年提出的一种基于图像局部特征的描述算子，并于 2004年做了完善。SIFT算法是一种基于线性尺度空间，对图像缩放、旋转甚至仿射变换保持不变的局部特征描述算子，因此被广泛地应用于机器人定位、导航和地图生成中。-This paper presents a method for extracting distinctive invariant features fro
SIFT_feature
- %this code is the Matlab implimentation of David G. Lowe, %"Distinctive image features from scale-invariant keypoints," %International Journal of Computer Vision, 60, 2 (2004), pp. 91-110. %this code should be used only for academic res