搜索资源列表
HarrispointDetect
- Harris角点检测算法,对做图像的特征点匹配时有很大的帮助,希望大家好好学习。-Harris corner detection algorithm to do image matching feature points when there is a great help, I hope we can learn from.
SIFT-Library-1.1.2_2010120711
- low sift算法的实现,可以提取一个图像的特征点,也可以实现图像之间的特征点匹配-Scale-Invariant Feature Transform
Features2D_Homography
- 使用OpenCV实现特征点的查找以及两幅图像中的特征点匹配-Use the function findHomography to find the transform between matched keypoints. Use the function perspectiveTransform to map the points
Sruf-cpp
- surf特征点匹配,使用surf特征对两幅图进行匹配-surf feature point matching, use surf to match the characteristics of the two plans
CornerExtracted
- 基于OpenCV的图像特征点提取,并有效实现两幅图像的特征点匹配-Based on OpenCV image feature points extraction and effective realization of two image matching feature points
DemoV4
- MATLAB程序,适用于特征点匹配,完整文件夹,直接运行.m文件-MATLAB program for matching feature points to complete folder
matching
- 特征点匹配,采用RANSAC算法过滤噪点,在vs2008+opencv2.4.4下编译过,有运行结果,效果不错-Feature point matching, noise filtering using RANSAC algorithm, compiled in vs2008+ opencv2.4.4 too, have the results, good results
harris-ncc-ransac
- 用于特征点匹配的图像拼接算法,包括harris算法,NCC算法以及RANSAC算法-For matching feature points of image matching algorithm, including the Harris algorithm, NCC algorithm and RANSAC algorithm
imageproc
- 图像处理中经常用到的算法。。。比较常用surf特征点匹配、二值化、边缘等需要配置相应的库才能运行-Image processing algorithm is often used in... More commonly used surf feature points matching, binarization and edge need to configure the corresponding library to run
gbvs-(1)
- 该代码是在MATLAB下运行的GBVS,用于图像特征点匹配,进一步用于图像处理,图像检索等多个领域。-GBVS the code is run in MATLAB for image feature point matching, and further used in various fields of image processing, image retri .
SIFT
- 一个很好的sift算法实例,有图有真相,可以实现特征点匹配,并将两幅图像的匹配点连线,还可以实现拼接,内有几个demo。帮助大家学习。-A good sift algorithm instance, there are pictures and the truth, you can achieve the matching feature points, and the two images match point connection, you can also achieve stitchi
image-Features-Points-Match
- 图像特征点匹配-image Features Points Match
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
Essay_SIFT
- 对于两幅图像的特征点匹配,可以知道对应点的偏移角度以及位移-For both image feature point matching, corresponding points can know the offset Angle and displacement
sift_match(Qt)
- SIFT(Scale-invariant feature transform)是一种检测局部特征的算法,该算法通过求一幅图中的特征点(interest points,or corner points)及其有关scale 和 orientation 的描述子得到特征并进行图像特征点匹配,获得了良好效果.-SIFT (Scale-invariant feature transform) is a local feature detection algorithm by finding a pictu
FlannBasedMatcher
- 使用FLANN进行特征点匹配,利用SURF检测器检测的关键点,绘制出符合条件的匹配点 -The key point of the feature point matching using FLANN using SURF detector, the draw qualifying match point
45398761sift
- 本代码是应用sift算法进行的特征点匹配与配准,可以应用于图像拼接,人脸识别等等,用法非常强大。可以运行-This code is matched with the feature point registration application sift algorithm can be applied to the image stitching, face recognition, etc., usage is very powerful. You can run
360_panorama
- 采用opencv库,实现柱面全景拼接,采用特征点匹配SIFT算法。-Using OpenCV library to achieve cylindrical panoramic stitching.
FlannBasedMatcher
- opencv使用FLANN进行特征点匹配-opencv use FLANN matching the feature point
fingerprint-algorithm
- 初步的指纹算法,有二值化、细化、去噪、特征点匹配等-Preliminary fingerprint algorithm, binarization, thinning, de-noising, feature point matching