Description: generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point.-generates putative matches between previ ously detected feature points in two images by l ooking for points that are maximally correlate d with each other within windows surrounding ea ch point. Platform: |
Size: 3072 |
Author:suyu |
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Description: 一种新的基于特征点的图像匹配算法，简单高效，只是现在没有实现源码。-A new feature points based on the image matching algorithm, simple and efficient, but do not achieve the source. Platform: |
Size: 303104 |
Author:vimone |
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Description: sift 匹配算法，输入两幅bmp图片，可以完成特征点寻找和匹配-sift matching algorithm, type 2 bmp picture, you can complete the search and match feature points Platform: |
Size: 198656 |
Author:huangansheng |
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Description: MATCHBYCORRELATION - match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in *both* directions are returned. This is a simple-minded N^2 comparison. -MATCHBYCORRELATION- match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in* both* directions are returned. This is a simple-minded N ^ 2 comparison. Platform: |
Size: 3072 |
Author:wugang |
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Description: 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。-Based on feature points of automatic seamless image mosaic method. The method used for the scale robust algorithm SIFT feature point extraction and matching, and guide each other through the match and voting methods of filtering feature point improve matching accuracy, the use of robust RANSAC algorithm between images obtained transformation matrix H the initial value and use the LM non-linear iterative algorithm refining H, end-use-weighted smoothing algorithm to complete the image of the seamless splicing. Platform: |
Size: 151552 |
Author:小兔兔牙 |
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Description: 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。-DG lowe the scale-invariant features of the conversion algorithm (SIFT) and OpenGL-based opencv source code based on the increase in the preservation of image features. Used to image the scale-invariant feature extraction and image feature points of the match. Platform: |
Size: 7247872 |
Author:朱 |
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Description: 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 points as corner points, using the normalized gradient of their pre-match template. The shape of the template and then use the template in the four directions within the image edge point and the shortest distance between the template border statistics, access to the template image of the structure of eigenvectors of the feature points in order to achieve the exact match. Experimental results show that the algorithm has good practical value. Platform: |
Size: 171008 |
Author:memcpy |
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Description: 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的
精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的
RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变
换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代
过滤,并用提纯后的数据来做模型估计
-A robust fully automatic image mosaic fusion operator presents a fully automatic image stitching robust fusion algorithm. This algorithm uses the Harris operator angle detection feature point extraction, so that the accuracy of extracting the sub-pixel, and then feature points to the neighborhood gray-scale cross-correlation method for matching feature points have been the initial pseudo-match collection and use of sound RANSAC algorithm pseudo-matching point set is divided into inner and outer points, including point-domain LM optimization algorithm used to estimate accurately the image transform relations between points, and finally the use of color interpolation of the color transition of the junction. The entire algorithm for auto-complete, it has a larger error or error of feature points iterative data filtering, and purification of model data to make estimates Platform: |
Size: 117760 |
Author:王钰 |
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Description: SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT feature matching algorithm is the feature points at home and abroad to match the hot area of research and difficult, and its ability to match, can be dealt with between the two images, translation, rotation, affine transformation in case of matching, even in some degree for any angle images also have relatively stable feature matching capacity Platform: |
Size: 3397632 |
Author:ligu |
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Description: 基于OpenCV的SIFT特征点提取进行匹配的程序，程序中采用了两幅图像，匹配后可进行放射变换-OpenCV based on SIFT feature point extraction of matching procedures, the procedures used in the two images, match after radiation transformation Platform: |
Size: 387072 |
Author:bill |
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Description: 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode. Platform: |
Size: 482304 |
Author:媛媛 |
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Description: 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 Platform: |
Size: 375808 |
Author:purple_ice |
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Description: 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 Platform: |
Size: 11264 |
Author:qwe |
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Description: sift目标跟踪特征点的匹配，检测性能高，匹配效果好-sift target tracking feature points of the match, testing high-performance, match the good results Platform: |
Size: 2803712 |
Author:guaer |
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Description: 基于已检测到特征点的图像匹配源码，好用的-Feature points are detected based on image matching source, easy to use ~ ~ ~ Platform: |
Size: 1024 |
Author:Sina Gui |
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Search - match feature points