搜索资源列表
image-matching-
- 针对 １２８ 维 ＳＩＦＴ 特 征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率 ． 实验结 果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果 ． 与原算法相比，在保 证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低 １０％～２０％ ， 对于小尺度的视角变换，误匹配率平均降低 ５％． -For 128-dimensi
mod_lowe_demo
- SIFT提出者的程序，SIFT特征匹配，测试可用 来自 http://www.cs.ubc.ca/~lowe/keypoints/-the program for SIFT algorithm it s useful for graphics match http://www.cs.ubc.ca/~lowe/keypoints/
Qt_RobHess_SIFT
- RobHess的SIFT源码 RANSAC去除误匹配-SIFT the source code for RobHess RANSAC remove false match
sift_robkdtree
- sift算法寻找特征点，并用KD树法匹配特征点-sift algorithm to find the feature points and match with KD tree method feature points
MATLAB_SIFT
- SIFT特征点检测算法，matlab实现的，程序里还有匹配部分功能-SIFT feature point detection algorithm, matlab implementation, program as well as some features match
robwhess-opensift
- 基于局部不变特征的图像匹配。利用SIFT算法实现局部特征的检测与提取，再用RANSAC算法筛选特征点，提高正确的匹配率。-Based image matching local invariant features. Use SIFT algorithm to detect and local feature extraction, and then filtering feature points RANSAC algorithm to improve the correct match rat
sift_programm
- SIFT匹配算法，实现多个匹配特征。匹配效果较好。-Based on matlab programm,sift come true to match.
finknudem-(2)
- Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and na
ransacOverlap
- 程序使用sift提取和匹配图像的特征点，使用RANSAC得到图像的单应矩阵H，再将其中一幅图像通过H变换到另一幅图像的坐标系中。最后计算得到两幅图像重叠区域。图像可以换成自己的。-This code use SIFT to extract and match feature points.Then RANSAC is utilized to calculate homography matrix.Finally,the overlap rate of these two images will
siftDemoV4
- 图像匹配 sift算法实现 match直接调用函数即可 -sift image matching algorithm
SIFT_matlabe1
- This a MATLAB implementation of the SIFT keypoint detector and descr iptor -do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space do_localmax: local extrema as the potential keyp
SIFT_Mosaic
- 图像配准,基于sift的图像配准程序，配准效果良好，运行速度快。-image match
DetectMTInDB
- vs2010下两张图片之间、进行sift匹配，角点LK金字塔光流跟踪，surf匹配。有绘制特征点主方向和辅助方向。具体仔细看代码。-vs2010 down between two pictures, make sift matching corner pyramid LK optical flow tracking, surf match. Have drawn the main direction of the feature points and the auxiliary directio
face-detect
- 在安卓NDK下实现了图像的sift检测，可以圈出特征点，并且能够匹配二幅图像，需要opencv库支持。-In the android to realize the image under the NDK sift detection, can circle the feature points, and the ability to match two images, need opencv library support.
SIFTMATCH
- 利用SIFT算法，用opencv的2.4.9的库进行目标的匹配和定位-using the SIFT algorithm,match the object with opencv lib
取特徵
- emgu 特徵檢測 支持显示SIFT的关键点-EMGUCV C# based on SIFT algorithm written in code, make changes to the document image to match the library, support the display of the key points SIFT
flann_
- 使用FLANN(近似最近邻算法)实现图像特征的匹配，其中图像特征使用SIFT提取，算法能实现单应性匹配需求。- FLANN (approximate nearest neighbor algorithm) is used to match the image feature, and the image feature is extracted using SIFT. The algorithm can achieve the homography matching requirement.
Ransac
- 对两幅图像提取到的SIFT特征匹配后进行匹配优化。平台是Visual Studio 2013-Match the SIFT feature that is extracted the two images and match the optimization. The platform is Visual Studio 2013
siftDemoV4
- 此代码读取两个图像，查找其SIFT功能，并显示连接匹配关键点的行。 只有当距离小于distRatio乘以距离第二个最接近的距离时，才能接受匹配。它返回显示的匹配数。-This function reads two images, finds their SIFT features, and displays lines connecting the matched keypoints. A match is accepted only if its distance is less than
siftDemoV4
- sift算法匹配，修改图片路径后，运行调用match函数stratmatch.m文件即可得到匹配图-Sift Algorithm DemoV4