搜索资源列表
SURF_VC6.0
- Visual C++ 6.0 平台下使用OpenCV库实现的SURF特征点检测算法，效率较SIFT特征点检测要高。正确配置OpenCV后能修改输入图像能正确运行。-SURF feature point detection algorithm implemented using the OpenCV library under the Visual C 6.0 platform, more efficient than the SIFT feature point detection is hig
sift-win-recompiled
- VC2010可用，SIFT特征提取，并做两个图片的匹配，最终输出匹配点。适用于Windows操作系统。-VC2010 is available, the SIFT feature extraction, and make the two images match, the final output of the matching point. Applies to the Windows operating system.
find_obj
- surf 方法 直接能运行 配上opencv 图像特征点匹配 sift方法的改进版本，在时间上面大大提高同时在光照方面比sift要好很多-Methods can be run directly coupled surf opencv image feature point matching method sift improved version of the above at the time of greatly increased both the light much better th
mySift
- sift的C++版，在sift上找出鲁棒性最强的几个特征点，然后以这个点为圆心，以自适应性的尺度为半径画圆，这个非常适合运用于数字水印领域，适用于抵抗数字水印的几何攻击-sift the C++ version of the robustness of the sift to find the strongest on the number of feature points, and then to this point as the center of the scale of self-a
mosaic
- SIFT是具有鲁棒性的特征点提取算法，本程序就是基于SIFT的图像拼接-SIFT is a robust feature point extraction algorithm, this procedure is based on the SIFT image stitching
sift2
- sift算法，VC++ 6.0 开发，用于图像特征点提取，利用Opencv库进行开发-sift algorithm, VC++ 6.0 to develop for the image feature point extraction, Opencv library development
qt_open_surf
- 在上篇博客特征点检测学习_1(sift算法) 中简单介绍了经典的sift算法，sift算法比较稳定，检测到的特征点也比较多，其最大的确定是计算复杂度较高。后面有不少学者对其进行了改进，其中比较出名的就是本文要介绍的surf算法，surf的中文意思为快速鲁棒特征。本文不是专门介绍surf所有理论（最好的理论是作者的论文）的，只是对surf算法进行了下整理，方便以后查阅。 该代码的作者给出的主函数实现了6中功能，包括静态图片特征点的检测，视频中特征点的检测，图片之间的匹配，视频与图片之间的匹配
imagematch
- 使用opencv编写的图像匹配源代码，包括特征点检测，sift特征匹配的具体实现代码-Opencv image matching source code written, including feature point detection, sift feature matching specific implementation code
SiftDemo
- 利用opencv编写的sift特征点提取程序，适用于研究此算法-Sift feature point extraction programming using opencv, which is applicable to research this algorithm
SIFT-iamge
- 这是一个SIFT的特征提取程序，我已经试验过，可以找到特征点并且声称特征点描述子。代码结构很清晰，简单易懂，非常适合初学者的学习。-This is a SIFT feature extraction procedures, I' ve been tested, you can find the feature points and claimed that the descr iption of the feature point. Code structure is very clear
SIFTTest3
- 实现对图像的sift特征点检测，能够对图像添加噪声、旋转、缩放，检验sift算法效果，实现两幅图像间的sift特征点匹配。-Sift feature point detection on the image, you can add noise on the image, rotate, zoom, testing the effect of sift algorithm, sift feature point matching between two images.
Gauss-Pyramid-sift_openvc
- 用opencv实现了高斯金字塔，得到了图像的sift特征点，并得到了不同高斯尺度下得图形-Gaussian pyramid with opencv obtained image sift feature point, and has been obtained under different graphical Gaussian scale
opencv-sift-text1
- 基于opencv的sift特征点匹配测试程序，对比两张图片上的特征点匹配程度-Based on the opencv sift feature point matching test program, compared to two pictures on the degree of matching feature points
opencvsift
- SIFT 算法提取图像局部特征， 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤： 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
The-MFC-Sift-feature-extraction
- sift 特征点检测 对初学者有很好的参考-sift feature point detection is a good reference for beginners
The-SIFT-feature-point-extraction
- sift 特征点检测 很好的一个代码程序-sift feature point detection code is a very good program
SIFT
- SIFT算法的特征点提取与匹配，程序效果较好，亲测可用。-SIFT feature point extraction and matching algorithms, application effect is good, close test available.
SIFT_and_ransac
- sift-and-ransac结合的图形图像特征点匹配于删除误匹配点-Graphic image feature point sift-and-ransac binding matches delete mismatching points
opencv3.2_SIFT+flann
- 本程序用于图像拼接，使用了SIFT特征点匹配，加上了加权融合算法去除了明暗接缝(This program is used for image stitching, using SIFT feature point matching and adding a weighted fusion algorithm to remove the bright and dark seams)
siftpoint
- 对于单张图片使用opencv2.4.9版本实现了sift关键点检测（C++）(Sift key point detection is implemented for single picture)