说明：本文介绍了SIFT,SURF,PCA-SIFT的各自特点，阐述了各自适用的不同的场景。对图像识别和视频识别有很大的启迪作用。

说明：图像特征提取以及匹配，sift代码。可用于图片检索中，同比SURF，其算法可以较好的识别图像中文字

说明：implementation of SURF feature extractor

说明：2006年，SURF特征成为了类似于SIFT的一个替代品，速度是SIFT的三倍，该程序提供了SURF特征的提取与匹配方法，C++代码，需要OPENCV

说明：this software can help you surf the internet more freely,with little barrier.

说明：surf特征提取算法，较sift优良，包括示例和实验图片，还有算法原文

说明：Detecting, identifying, and recognizing salient regions or feature points in images is a very important and fundamental problem to the computer vision and robotics community. Tasks like landmark detection and visual odometry, but also object recognition benefit from stable and repeatable salient features that are invariant to a variety of effects like rotation, scale changes, view point changes, noise, or change in illumination conditions. Recently, two promising new approaches, SIFT and SURF, have been published. In this paper we compare and evaluate how well different available implementations of SIFT and SURF perform in terms of invariancy and runtime efficiency.

说明：In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor) and by simplifying these methods to the essential. This leads to a combination of novel detection, description, and matching steps. The paper presents experimental results on a standard evaluation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.

说明：A sample function of two variables. PEAKS is a function of two variables, obtained by translating and scaling Gaussian distributions, which is useful for demonstrating MESH, SURF, PCOLOR, CONTOUR, etc.

说明：surf descriptor for object recognition

说明：Sift Surf example Sift Surf example

说明：This submission contains a function that computes face normal data for the VertexNormals property of the surface that fixes the lighting (facenorm.m) as well as a workaround function that you can just use in place of surf (surfo.m). Only use this if you get erroneous surface plots and you can t go without OpenGL and flat lighting.

说明：基于SURF特征点的图像配准代码，可实现两幅图的特征提取及匹配

说明：SURF feature descriptor

说明：基于MATLAB的数学图形制作 过具体实例研究MATLAB绘制二维图形和三维图形的plot、ezplot、mesh、surf、ezmesh、ezsurf、 plot3等几个作图函数，说明它们的使用方法和技巧。

说明：Harris角点检测算法，特征提取的有效方法，检测效果好，算法的计算时间比较适中。

说明：SURF算法为SIFT算法的改进，运算速度得到了很大的提高。本资料为基于MATLAB的SURF算法实现，对图像匹配的研究方向会有一定帮助。

说明：opencv是图像处理中常用到的工具箱，本资料为基于此工具箱的图像处理匹配算法SURF的实现代码。

说明：SURF (Speeded Up Robust Features) http://en.wikipedia.org/wiki/SURF 测试了很多surf的源代码 这个带有匹配的演示例子很不错

说明：surf feature extraction algorithm code written in Visual Studio 8.0

说明：you can detect feature points in any image. OpenCV is needed.. it uses surf algorithm to do so

说明：Surf,特征点检测算法,比sift还好的算法 论文和代码

说明：SIFT简化后的算法，速度快 特征点检测，检测特征点的一种非常有效的算法！！

说明：VC++实现的图像配准算法,代码全,有窗口.本代码来自《数字图像处理典型算实现》一书.rar

说明：主要是实现了图像匹配和图像配准，是一个很不错的算法模块

说明：scale invariant algorithm

说明：SURF算法是继SIFT算法后的又一图像不变特征检测算法，除了具有SIFT算法稳定高效的特点外，还极大的降低了SIFT算法复杂度，大大提高了特征检测和匹配的实时性。这里上传的SURF算法的实现源代码

说明：用VC++实现了ransac算法，可以用于图像匹配时去除错误匹配等，代码是可用的。

说明：matlab编写的实现surf的平台 老外的东西，可以进行验证