搜索资源列表
siftmatch.tar
- sift图象匹配，vc+matlab 调试可以用
pj
- 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。
MatlabSIFT
- sift的Matlab代码!进行SIFT特征匹配与特征识别
164125635720071271414456750079
- sift图像匹配算法实现 两幅图像合并成一幅图像
image stitch
- 采用sift 特征点匹配，投影变换和ransc 技术的全景图拼接
SURFmex-v2
- surf程序，是sift的增强版，其特点就是速度快，匹配率也很高。
OpenSURF_version1c(1)
- SURF算法，是SIFT的升级版，速度更快，性能也不差，快速实现图像特征点的检测和匹配。-SURF algorithm, is an upgraded version of SIFT, faster, not bad performance, rapid detection of image feature points and matching.
SIFT_VC_LOWE
- sift算法，纯c语言实现，运行环境vc6.0，对两幅图片进行特征提取和匹配！-sift algorithm, pure c language, operating environment vc6.0, pictures of the two feature extraction and matching!
siftDemoV4
- 图像匹配的实现，其中match.m：测试程序，sift.m :尺度不变特征变换（SIFT算法）的核心算法程序，appendimages.m: 该函数创建一个新的图像分别包含两个匹配的图像和他们之间的匹配对的连接直线，可以运行。 -The realization of image matching, which match.m: test program, sift.m: scale-invariant feature transform (SIFT algorithm) of the cor
OpenCV
- OpenCV_人脸检测 SIFT特征匹配-OpenCV sift match
pingjiehefengbu
- 图像的自动拼接和缝补，采用sift算法作为匹配，是学习全景图像拼接的基础，大家可以下载下来-Automatic image stitching and sewing, using sift algorithm as a match, is the basis for learning panoramic image mosaic, you can download to see
siftdetectandmatch
- 运用sift算法提取两幅图像中的特征点，然后再进行特征点匹配，实现图像配准-Sift algorithm using two images extracted feature points, and then the feature point matching, to achieve image registration
OpenSURF
- surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and othe
OpenCV_SIFT(C-CPP)
- 基于OpenCV下的sift算法源代码，可用于图像匹配-Under the sift algorithm based on OpenCV source code can be used for image matching
1
- SIFT特征匹配算法的PPT，很适用,是学习SIFT的好资料.-SIFT feature matching algorithm of the PPT, it is applicable, is a good learning SIFT information.
spatial_pyramid_code
- 金字塔匹配算法，包括SIFT特征点的提取，聚类和构造金字塔特征表示，论文参考：Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories matlab代码
RANSACANDSIFT
- 基于影像特征点，利用SIFT算子提取特征点，然后利用Ransac算子剔除错误的点，用于保证影像匹配时的精度。-Based on image feature points, the use of SIFT operators extract the feature points, and then remove the error by Ransac point operator, when used to ensure the accuracy of image matching.
InvariantLocalFeatureforImageMatching
- Invariant Local Feature for Image Matching,主要是介绍了一下图像副本检测的系统，先对图像提取sift特征，再用LSH匹配-Invariant Local Feature for Image Matching, mainly introduced a copy of what the image detection system, first sift the characteristics of the image extraction, and the
TIchinese_A1681
- C++ OPENCV实现的sift上，做了一定的修改。 主要用于匹配和拼接，希望对大家有用。-C++ OPENCV sift achieved, and do some changes. Mainly used for matching and stitching, we want to be useful.