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- 本文提出了一种基于特征点的全自动无缝图像拼接方法。该方法采用对于尺度具有鲁棒性的SIFT 算法进行特征点的提取与匹配,并通过引导互匹配及投票过滤的方法提高特征点的匹配精确度,使用稳健的RANSAC 算法求出图像间变换矩阵H 的初值并使用LM 非线性迭代算法精炼H,最终使用加权平滑算法完成了图像的无缝拼接。整个处理过程完全自动地实现了对一组图像的无缝拼接,克服了传统图像拼接方法在尺度和光照变化条件下的局限性。实验结果验证了方法的有效性。-This paper presents a feature
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
edge-detection
- 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The SIFT program used to do with the edge combination image registration using SIFT test first key with CANNY edge detection operator to optimize select the best match point
SIFT_image_mosaic
- 实现SIFT特征点的检测及图像拼接功能,主要在原来作者的基础上添加了显示全部特征点或者只显示重叠区域特征点,能够直接使用-Achieve SIFT feature point detection and image stitching function, mainly on the basis of the original author to add a point or show all the characteristics of overlap only feature points c
MARK_ImagePyramids
- SIFT图像特征提取的图像预处理步骤:构建图像构建高斯金字塔,相邻层相减得到DOG金字塔,在DOG金字塔3x3x3的邻域内寻找局部极值点,供进一步计算SIFT特征描述子使用。工程运行于VS2008环境,需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。-SIFT image feature extraction image preprocessing steps: build image Gaussian pyramid, subtracting the adjacent
sift_search_matching
- 实现sift特征点的提取和匹配,并将匹配点输出到MAT文件-Realization of SIFT feature point extraction and matching, and will match the output to a MAT file
image-matching1
- 基于SIFT的图像匹配,只做了特征点检测,其中在特征点描述子方面做了一点小小的改进-SIFT based on the image matching, only do the feature point detection, which in a feature point descr iptor in a little improvement
bobo--biye-sheji
- 一个基于特征点的图像拼接技术的研究,其算法为sift,主要为将2图片的特征点找到,并连接-A feature point based on image mosaic technology research, the algorithm of SIFT, mainly for the 2 image feature points to find
disparity-200712.2
- 使用sift特征对两幅图像进行匹配,标记出特征点以及匹配上的点-Use sift features on the two images matching, and mark out and matching feature points on the point
SIFT_pj
- 用sift检测特征点来进行图像的无缝拼接。实验证明在视角和灰度变换不大的情况下,此算法拼接效果良好。-Seamless image with sift detection feature point. Experimental results show the small viewing angle and gray scale transform, the splicing effect of this algorithm.
SC_demo
- 整理图像特征点提取和分类的程序(可以作为场景分类的前期工作),自己调试过能运行,特征点提取用的SIFT算法,使用K-means聚类算法,将得到的20个聚类中心写入txt文本中-Finishing the image feature point extraction and classification procedures (which can be as the preparatory work of the scene classification), their own debugging
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
c-program
- main函数中结构数组a中存储了5个职员的工资信息(这里称每个职员的工资信息为一条“记录”)。sift函数的形参cond接收筛选条件字符串,函数实现从s指向数组元素开始的n个元素中筛选出所有wage符合筛选条件的记录并将这些记录复制到res指向的结构数组。函数返回res数组中存储的记录数(筛选结果)。-The main function is stored in an array of structures a five staff wages (here referred to the inf
1111
- sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配,可用于图像拼接等。-sift feature point extraction code and feature point matching, the two image feature extraction point can be used for image stitching.
SIFTMaching
- 根据David Lowe的SIFT编写了一个利用其进行特征点提取和匹配的程序,由于该库只支持PGM,所以自己又写了包括jpg等图片转为PGM的子函数-According to David Lowe' s SIFT to write a use of the feature point extraction and matching procedures, the library only supports PGM himself wrote including jpg and other
siftDemoV4
- 这是一个检测和匹配SIFT特征点的演示算法,同时还包含一个C程序用于载入特征点来做简单的特征匹配。-This is a detection and matching SIFT feature point presentation algorithm, but also contains a C program used to load the feature point to do a simple feature matching.
multiple-view-match-under-gui
- 将点匹配方法包括harris,sift,susan集成在GUI中显示,还包含了边缘的检测与直线的提取,此外还可以进行线分组,程序可直接运行-Harris, sift, susan point matching method is integrated in the GUI display also includes the extraction of edge detection and linear addition line grouping, the program can be run
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
ssift-mattchi
- sift特征点提取代码和对两幅图像提取特征点后进行特特征点匹配,可用于图像拼接等。c和matlab代码都有 -sift feature point extraction code and the special feature points matching image stitching, etc., can be used to extract feature points of the two images. c and matlab code has