搜索资源列表
SIFT_and_ransac
- sift-and-ransac结合的图形图像特征点匹配于删除误匹配点-Graphic image feature point sift-and-ransac binding matches delete mismatching points
OpenSURF
- surf特征点提取以及相应的特征点匹配，matlab程序-speed up robust features (SURF), feature matching
xbbh
- 基于小波变换的图像拼接,用到SIFT特征点匹配，内容包括源代码及待匹配图像-Image Stitching Based on Wavelet Transform, SIFT feature points used in matching
Hausdorff距离匹配代码
- Hausdorff距离匹配代码，实现了CANNY边缘特征点、HARRIS特征点、SIFT特征点、SURF特征点的Hausdorff距离匹配
PEIZHUN
- 使用FLANN进行特征点匹配，完成图像配准功能-FLANN performed using feature point matching, image registration function is completed
sift
- SIFT特征点匹配，用于全景图像拼接过程中的特征点提取、匹配-SIFT feature points matching
opencv_surf
- opencv提取surf特征点 并进行匹配(Extracting surf feature points using opencv)
siftDemoV4
- 特征点匹配fawwearqgrqfgsgasfarfWWEFAWEFEAW(match pointsfawwearqgrqfgsgasfarfWWEFAWEFEAW)
SURF
- surf特征点匹配，显示匹配点数和时间，以及较优匹配点数(surf feature matching)
3D-reconstruction-master
- 3d 重建 包括特征点的提取，匹配，以及三维点云的建立(3d reconstruction ,including feature detection and 3 D points cloud ,the change from 2D to 3D)
sift
- 图像匹配，原始图像变形移动后，通过匹配算法可以获得变形前后图像中特征点的对应关系。(After the image is deformed, the corresponding relation of feature points in the image before and after deformation can be obtained by matching algorithm.)
code1
- 特征点提取及图像匹配,局部图像特征提取匹配(Feature point extraction and image matching, local image feature extraction matching.)
新建 好压 ZIP 压缩文件
- 基于matlab平台的harris coener角点检测算法，检测一幅图像中比较突出的特征点，可用于图像匹配或者导航(Harris coener corner detection algorithm based on MATLAB platform detects the salient feature points in an image, which can be used for image matching or navigation)
demo_ASIFT_src.tar
- 得到图像的特征点以及对应的特 征向量后，采用关键点特征向量的欧式距离作为两幅图 像中关键点的相似性判定度量(The feature points and corresponding features of the image are obtained After the eigenvector, the Euclidean distance of the feature vector of the key points is used as the two map Similarity
opencv3.2_SIFT+flann
- 本程序用于图像拼接，使用了SIFT特征点匹配，加上了加权融合算法去除了明暗接缝(This program is used for image stitching, using SIFT feature point matching and adding a weighted fusion algorithm to remove the bright and dark seams)
图像拼接
- 采用特征点匹配的方法实现多张图像的拼接，最终生成全景图像(Using the feature point matching method to achieve image stitching, eventually generating panoramic images)
图像融合算法
- 针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based
matlab图像拼接1
- 对两幅图像进行harris角点提取，特征点匹配，进行图像拼接(Two corners are extracted from Harris images, and feature points are matched for image mosaic)
siftTest
- 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(It is an algorithm for detecting local features. The algorithm obtains good results by finding feat
sift点特征提取
- 利用sift算子进行点特征提取，并进行影像匹配(Sift operator is used to extract point features and image matching.)