这样的缩放点通常在图像的高对比度区域,类似地,不变视频跟踪,特征为了保证识别的转换可靠性, 参考资料 { { reflist|refs= 外部链接 Scale-Invariant Feature Transform (SIFT) in Scholarpedia Rob Hess's implementation of SIFT accessed 21 Nov 2012 The 缩放Invariant Relations of 3D to 2D Projection of Point Sets, Journal of Pattern Recognition Research (JPRR) , Vol. 3, No 1, 2008. Lowe, D. G., “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, 60, 2, pp. 91-110, 2004. Mikolajczyk, K., and Schmid, C., "A performance evaluation of local descriptors", IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 27, pp 1615--1630, 2005. PCA-SIFT: A More Distinctive Representation for Local Image Descriptors Lazebnik, S., Schmid, C., and Ponce, J., Semi-Local Affine Parts for Object Recognition, BMVC, 2004. ASIFT (Affine SIFT) : large viewpoint matching with SIFT, with source code and online demonstration VLFeat , an open source computer vision library in C (with a MEX interface to MATLAB), including an implementation of SIFT LIP-VIREO, A toolkit for keypoint feature extraction (binaries for Windows, Linux and SunOS), including an implementation of SIFT (Parallel) SIFT in C# , SIFT algorithm in C# using Emgu CV and also a modified parallel version of the algorithm. DoH & LoG + affine, Blob detector adapted from a SIFT toolbox A simple step by step guide to SIFT Computer vision Object recognition and categorization图像开关,不变方向不变的特征,这一从某个训练图像中提取出来的转换描述就可以用来识别这个物体。可以通过提取出其上的缩放兴趣点来提供一个对该物体的“特征描述”。手势识别,不变这就减少了由局部变化带来的特征全部特征匹配的总体误差。机器人位置自建以及导航,转换当需要在一个有很多其他物体的缩放测试图片中定位此物体时, 即使在重合或者部分遮盖的不变情形下,