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Description: Relationship Between the Sum of Squared Difference (SSD)
and Cross Correlation for Template Matching
Konstantinos G. Derpanis
York University
kosta@cs.yorku.ca
Version 1.0
December 23, 2005
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Size: 41984 |
Author: li |
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Description: This paper presents an image feature matching algorithm，based on what an image stitching algorithm can be fune—
tioning．In this algorithm，Harris comer detector is used to extract featum points-This paper presents an image feature matching algorithm, based on what an image stitching algorithm can be fune-tioning. In this algorithm, Harris comer detector is used to extract featum points
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Size: 206848 |
Author: wang |
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Description: NCC算法的描述，很详细，适合初学者，图像匹配必须-NCC algorithm described in great detail, suitable for beginners, image matching to be
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Size: 139264 |
Author: 刘明烁 |
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Description: 使用SSD（sum squared differences）算法进行双摄像机图像匹配点计算，基于OpenCv的C++代码实现-Using SSD (sum squared differences) algorithm dual camera image matching points calculation, based on the OpenCv the C++ Code
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Size: 1866752 |
Author: 梁霄 |
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Description: 这是模板匹配SSD的源代码，用MATLAB编写-This is template matching SSD source code, using MATLAB to prepare
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Size: 12288 |
Author: 峰峰 |
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Description:
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Size: 1024 |
Author: 孙英晖 |
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Description: 微软研究院做的一个 集合了几种常见的立体匹配算法：包括sad,ssd,bp,maxflow等等。而且自带truth map可以评估自己的算法-Microsoft Research to do a collection of several common stereo matching algorithm: including the sad, ssd, bp, maxflow and so on. Truth map and can bring their own assessment of their own algorithm
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Size: 179200 |
Author: woxiest |
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Description: stereo matching
-sad
-ssd
-n-stereo matching
-sad
-ssd
-ncc
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Size: 688128 |
Author: JangInYeop |
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Description: Stereo matching algorithm.
Compute disparity using ssd.
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Size: 105472 |
Author: Jaekwang |
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Description: matching shape can be subdivided between two approaches: feature-based and template-based matching. The feature-based approach uses the features of the search and template image, such as edges or corners, as the primary match-measuring metrics to find the best matching location of the template in the source image. The template-based, or global, approach, uses the entire template, with generally a sum-comparing metric (using SAD, SSD, cross-correlation, etc.) that determines the best location by testing all or a sample of the viable test locations within the search image that the template image may match up to.
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Size: 10481664 |
Author: gislam |
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Description: 本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。
这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。
main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘
制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数
y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。
从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。-The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions.
The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD.
main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters
y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data.
From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds.
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Size: 3024896 |
Author: qqqqqq |
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Description: 立体匹配代码，包括SAD，SSD，NV，可供参考-Stereo matching code, including the SAD, SSD, NV, for reference
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Size: 159744 |
Author: chiron |
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Description: 用相似性方法做的特征点的匹配，比较了SSD与SAD方法的各自效果。-feature points matching method used by the similarity, and comparing the respective effects of the SSD and SAD methods.
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Size: 3059712 |
Author: 钱春俊 |
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Description: sad、ssd、ncc的立体匹配方法，测试效果好，适合初学者-Sad, SSD, NCC stereo matching method, the test effect is good, suitable for beginners
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Size: 795648 |
Author: 张小学 |
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Description: Scale invariance in Template matching
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Size: 859136 |
Author: Sandeep Rai |
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Description: 图像处理立体匹配算法：Sum of Squared Defferences (SSD)算法的实现-Image processing stereo matching algorithm: Sum of Squared Defferences (SSD) algorithm implementation
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Size: 6464512 |
Author: 朱继祥 |
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Description: 利用局部匹配算法得到视差图的程序，输入左右视觉图片，输出左右视差图(Using local matching algorithm to obtain parallax map of the program)
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Size: 1024 |
Author: lyreliu
|
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Description: SSD-XDS560仿真器驱动-32位及64位Win7 CCSv5.3(SSD-XDS560 emulator drives -32 bit and 64 bit Win7 TI CCSv5.3 matching system)
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Size: 2778112 |
Author: diyer
|
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Description: 实现两幅图像匹配。应用SSD+SAD+NCC算法的匹配，很好用的程序(Realizing Two Image Matching.Application of SSD+SAD+NCC algorithm matching, very useful program)
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Size: 796672 |
Author: 琳琅满目 |
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Description: 立体匹配包含SAD SSD NCC 区域增长 census等多种常用立体匹配算法(Stereo matching includes SAD SSD NCC area growing census and other commonly used stereo matching algorithms)
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Size: 11555840 |
Author: `Edwardsbw |
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