搜索资源列表
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
SIFT_demo
- SIFT算法的相关实现 自己用matlab写的sift特征点检测与匹配程序,运行能通过-SIFT algorithm related to realize their written with matlab sift feature point detection and matching program, run through
SIFT-algorithm
- D.G lowe 的尺度不变特征转换算法(SIFT)在基于opencv和OpenGL的源码基础上增加了图像的保存功能。用于对图像的尺度不变特征的提取以及图像特征点的匹配-D.G lowe s scale invariant feature transform (SIFT) algorithm based on opencv and on the basis of OpenGL source to increase the function of image preservation. Used
siftDemoV4
- 对图像进行基于SIFT算法的特征提取并对图像特征并实现特征匹配-the implement of the sift algorithm and matching based on the feature extracted the image
SIFT
- Sift(Scale Invariant Feature Transform)是一个很好的图像匹配算法,同时能处理亮度、平移、旋转、尺度的变化,利用特征点来提取特征描述符,最后在特征描述符之间寻找匹配。本源码是用c语言实现的,代码简单易理解-Sift (Scale Invariant Feature Transform) is a good image matching algorithm, and can handle the brightness, pan, rotate, scale ch
sift_mosaic(im1--im2)
- 利用编程来实现两幅影像的这个却匹配,通过SIFT特征点来找到正确的匹配点,通知算法自带错误点剔除算法-sift_mosaic(im1, im2)
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.
sift
- 基于VS2010+opencv2.4.7编写的sift算法,用于图片或视频特征点检测及图片匹配-Sift algorithm based on VS2010+ opencv2.4.7 write for images or video feature point detection and image matching
GLMDTPS
- GLMDTPS实现遥感图像配准,基于SIFT提取图像特征并匹配(REMOTE SENSING IMAGE RECOGNITION USING GLMDTPS)