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基于c语言的指纹识别程序，实现特征提取和指纹匹配。是一个不错的程序例子！-based on the language c fingerprint identification procedures, feature extraction and matching fingerprints. Is a good example of the procedure!
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水表读数识别对于楼宇水费的自动采集，创建智能化小区，提高收费员的工作效率都有着重要的意义。然而由于轮盘的转动，常常出现半个字符的情形，造成此类识别与通常的号码识别不同。本算法枚举出所有半个字符的情况，提取特征，从而匹配识别，达到了较好的效果。-meter readings for the identification of automatic building water collection, create intelligent neighborhood fare increase effi
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数字图像处理 特征检测与匹配 SIFT特征检测匹配 C#编写-digital image processing and feature detection matching metabolism feature detection prepared matching C#
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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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指纹识别算法，所有算法代码（包括预处理，提取特征与匹配算法）都包含在内，没有使用动态链接库,Fingerprint recognition algorithm, all the algorithm code (including preprocessing, feature extraction and matching algorithm) are included, do not use dynamic-link library
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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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sift特征点检测及匹配，matlab源码-sift feature point detection and matching, matlab source code
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针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算
法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相
结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matchin
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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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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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This program does a very fast SURF feature extraction and matching using NVidia s GPU hardware
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用MATLAB来实现简单图像特征点提取和匹配-Using MATLAB to implement a simple image feature extraction and matching
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特征匹配的算法，可以一看，挺值得。本文提出一种图像特征点匹配算法 ,并在该算法的基础上形成构建全景图的图像拼接算法. -Feature matching algorithm can be quite worthy of a look at this paper, an image feature point matching algorithm and the algorithm based on the formation of building panorama image mosaic a
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图像配准的一个总的论述，有基于特征的匹配和基于区域的匹配。-Image registration of a general discussion, a feature-based matching and region-based matching.
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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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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 fram
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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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用于图像特征提取和匹配，三维重建等的经典方法，包括sift，surf，Harris，RANSAC,8点算法等-For image feature extraction and matching, 3D reconstruction and other classical methods, including sift, surf, Harris, RANSAC, 8 point algorithm, etc.
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在linux平台下完成对二维图像的特征点探测、抽取和匹配，利用RANSAC算法筛选剔除错误匹配点，显示AKAZE算法消耗时间和利用RANSAC算法后正确匹配率。
开发环境：Linux+GCC(In the Linux platform, the feature points detection, extraction and matching of two-dimensional images are completed. The RANSAC algorithm is used to elim
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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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