搜索资源列表
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6下载:
sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配,可用于图像拼接等。c和matlab代码都有,sift feature point extraction code and the two images after the extraction of feature points matching feature points that can be used, such as image stitching. both c and matlab code
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用sitf算法抽取图像之间的特征点来实现图像匹配。,Sitf extraction algorithm using the feature points between images to achieve image matching.
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提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点,利用归一化梯度模板对
其进行预 匹配.然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ,获取模板 图像的
结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature po
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这是一个用C++语言实现一个指纹识别程序,要求满足FVC国际竞赛标准,并在学校建立的指纹库上实测。程序里应用到的技术有:中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配-This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition stan
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一个简单的图形匹配源代码,两张图片选取3个特征点对比匹配-A simple shape matching source code, two pictures selected three feature points matching contrast
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基于金字塔对灰度图像进行分层,按由粗到精的方法对左右航片进行特征提取,根据特征点对影像对进行影像匹配!-Based on the Pyramid of the stratified gray-scale images, according to the coarse-to-fine method of flight films about feature extraction, according to feature points on the image to image matching
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对两幅图像特征点对匹配算法的一个实现,采用了09年pami一文章的观点,算法名称IDA(Incremental Dissimilarity Approximations)-Feature points of two images of an implementation of matching algorithm used pami a 2009 article, views, the algorithm name of IDA (Incremental Dissimilarity Approx
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A method to detect new objects in a scene by
comparing an input query image and a movie database captured beforehand is proposed.
Our method is based on both feature point matching and edge matching. First, we select the most matched movie from t
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1下载:
SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配
-SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching
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图像拼接源码实现,包括多频率图像融合,sift特征点配准算法-Image Stitching source implementation, including multi-frequency image fusion, sift feature points matching algorithm
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基于像素的图像特征点匹配,很好,很强大,一定要试试。
-Pixel-based image feature points matching,very good.You have to try it.
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基于NCC与SSDA的快速特征点匹配融合算法(图像匹配)-NCC and the SSDA-based feature points matching the rapid integration algorithm (matching)
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2004年 图像特征点匹配的文章 包括MATLAB C++算法程序 以及多篇论文 有参考价值-the algorithm about the feature points matching including algorithms and papers
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一种用于数字遥感影像立体像对间特征点匹配的源代码。-A stereo for the digital remote sensing image matching of feature points between the source code.
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基于SIFT特征点改进搜索算法的图像匹配技术的研究。利用SIFT可以做图像拼接和增强现实等技术。-SIFT feature points based on improved search algorithm for image matching technology research. Image stitching using SIFT can do, and augmented reality techniques.
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详细的常用图像特征点分类介绍,和图像匹配方法的介绍,比较有用-image feature points ,extracting and matching method
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基于特征点检测和匹配的算法讲解 值得一看最图像处理的会有帮助-Based on the feature points of matching algorithm testing and explain worth seeing the most image processing can help
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使用FLANN进行特征点的匹配 VS2010+Opencv2.49-Use FLANN feature points matching VS2010+ Opencv2.49
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数字摄影测量中的最小二乘匹配算法,带示例图像(Feature points matching using LSTM)
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利用GMS对特征点匹配进行约束,降低误匹配率,代码包含python版本,C++版本,matlab版本。(GMS is used to constrain the matching of feature points to reduce the error matching rate. The code includes Python version, C + + version and Matlab version.)
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