Description: 图象编程,含有图象的边缘特征和图象匹配的算法实现-image programming, with the edge of the image features and image matching algorithm Platform: |
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Author:张敬 |
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Description: 用VC++实现了ransac算法，可以用于图像匹配时去除错误匹配等，代码是可用的。-Using VC++ implementation of the RANSAC algorithm, image matching can be used to remove the error when the match and so on, the code are available. Platform: |
Size: 18432 |
Author:朱静 |
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Description: 图像模板匹配算法用MATLAB来试验，有例子大家可以看看，有上占还不完好，有能力的自己-Image template matching algorithm using MATLAB to test, there are examples we can see, there are not well accounted for, the ability of their changed Platform: |
Size: 68608 |
Author:zheng |
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Description: SURF算法为SIFT算法的改进，运算速度得到了很大的提高。本资料为基于MATLAB的SURF算法实现，对图像匹配的研究方向会有一定帮助。-SURF algorithm SIFT algorithm, computing speed has been greatly improved. MATLAB based on the information of the SURF algorithm for image matching the direction of the research will certainly help. Platform: |
Size: 1154048 |
Author:吴若鸿 |
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Description: 基于SIFT的图像配准程序
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-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot area of research and the difficulties in matching their ability to deal with translation between two images, rotation, affine transformation to match the case of problems, and even to some extent in any angle images will also be able to match the characteristics of a more stable capacity Platform: |
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Author: |
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Description: 提出了一种基于线特征和SIFT点特征的多源遥感影像配准方法。该方法首先匹配待配准影像和参
考影像中的线特征,利用匹配直线构建虚拟角点 其次,针对传统SIFT算法匹配多源遥感影像特征点存在的
不足,采用线特征约束点特征的方法进行SIFT同名点对的提取 最后结合虚拟角点对及SIFT同名点对构建三角网进行小面元微分纠正。
-A line-based features and SIFT features multi-point sources of remote sensing image registration. This method first match when matching images and reference images in the line features, using the matching Zhixian construct the virtual corner Secondly, the traditional SIFT algorithm for multi-source remote sensing image matching feature points and its shortcomings, bound with thread features characteristic of the method for point SIFT extraction of the same name points Finally, a virtual corner and SIFT on the same name point to the building triangulation using small panel differential corrected. Platform: |
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Author:LIDAN |
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Description: 加州大学一博士写的基于sift的图像匹配源代码,是用的matlab和VC混合编程-Ph.D. University of California, to write a sift-based image matching source code, is mixed with the matlab and VC programming Platform: |
Size: 3532800 |
Author:yisyf |
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Description: 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The program will combine the SIFT and the edge of image registration is used to make the first detection of the key points with SIFT operator with CANNY edge detection and then select the best match point optimized vector matching image registration. Platform: |
Size: 1024 |
Author:杨博明 |
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Description: 这是一个用MATLAB代码实现的一个关于图像的特征描述子的提取 以及相应特征点进行匹配的代码 可用于图像识别 或者立体匹配。-This is a MATLAB code with a descriptor on the image feature extraction and matching feature points in the corresponding code can be used for image recognition or stereo matching.
This directory contains compiled binary programs for finding SIFT
invariant features that can run under Linux or Windows. In addition,
there is a Matlab script as well as C source code showing how to load
the features and do simple feature matching. Platform: |
Size: 396288 |
Author:peter |
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Description: 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The SIFT program used to do with the edge combination image registration using SIFT test first key with CANNY edge detection operator to optimize select the best match point vector matching image registration. Platform: |
Size: 1024 |
Author:zhao |
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Description: SIFT的技术文档，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 matching feature points at home and abroad in the research field of the hot issues and difficulties, and the matching with the strong ability to deal with two images happened between translation, rotation, affine transformation of matching problem, even in some degree of arbitrary Angle shot of the image and also has a relatively stable feature matching ability
Platform: |
Size: 1642496 |
Author:xxx |
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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 matching feature points at home and abroad in the research field of the hot issues and difficulties, and the matching with the strong ability to deal with two images happened between translation, rotation, affine transformation of matching problem, even in some degree of arbitrary Angle shot of the image and also has a relatively stable feature matching ability.
Platform: |
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Author:xxx |
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Description: Abstract—This paper presents a comparative study of two
competing features for the task of finding correspondence points
in consecutive image frames. One is the Harris corner feature
and the other is the SIFT feature. First, consecutive frames are
extracted from video data then two kinds of features are
computed. Second, correspondence points matching will be
found. The results of SIFT key points matching and Harris key
points will be compare and discussed. The comparison based on
the result of implementation video data of outdoor with
difference condition of intensity and angle of view.-Abstract—This paper presents a comparative study of two
competing features for the task of finding correspondence points
in consecutive image frames. One is the Harris corner feature
and the other is the SIFT feature. First, consecutive frames are
extracted from video data then two kinds of features are
computed. Second, correspondence points matching will be
found. The results of SIFT key points matching and Harris key
points will be compare and discussed. The comparison based on
the result of implementation video data of outdoor with
difference condition of intensity and angle of view. Platform: |
Size: 962560 |
Author:bou33aza |
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Description: 1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。
3 SIFT算法的主要特点：
a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤：
1） 检测尺度空间极值点
2） 精确定位极值点
3） 为每个关键点指定方向参数
4） 关键点描述子的生成
本包内容为sift算法matlab源码-1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe Platform: |
Size: 2831360 |
Author:李青彦 |
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Description: shift影像匹配算法程序，内带测试用途，效果还行，仅供参考-shift image matching algorithm within with test purposes, the effect is okay, for reference only Platform: |
Size: 2496512 |
Author:fx |
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Description: 针对
１２８
维
ＳＩＦＴ
特
征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率
．
实验结
果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果
．
与原算法相比，在保
证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低
１０％～２０％
，
对于小尺度的视角变换，误匹配率平均降低
５％．
-For 128-dimensional SIFT feature vectors, using distance matching and cosine similarity measure combining matching method using feature points consistent direction to further reduce false match rate. The experimental results showed that: improved algorithm for image scaling, rotation, light, noise, and small-scale perspective transformation have better matching results. Compared with the original algorithm, while ensuring match points and matching time, based on the improved algorithm for rotation, scaling, noise, blur and light transform the average rate mismatch is reduced by 10 to 20 , for small-scale perspective transformation, mismatch average rate reduction of 5 . Platform: |
Size: 399360 |
Author:焦婷 |
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Description: rob Hess维护的sift源码，用于图像匹配，具有较高的参考和实用价值-rob Hess maintained sift source for image matching, with a high reference and practical value Platform: |
Size: 128000 |
Author:tzx |
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Search - image matching with sift