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Description: 很好的特征点匹配算法—surf，性能好于harris和sift，并且使用C++和matlab混合编程，速度更快，更加准确！
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Size: 1280017 |
Author: youwen1022 |
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Description: surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and other fields
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Size: 1604608 |
Author: xmchen |
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Description: 摄影测量，特征点匹配，可以读入BMP位图，用Morevec算子，FForstner算子，Harris算子进行特征点的提取。-Photogrammetry, feature matching,
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Size: 5927936 |
Author: 项青 |
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Description: SURF算法，是SIFT的升级版，速度更快，性能也不差，快速实现图像特征点的检测和匹配。-SURF algorithm, is an upgraded version of SIFT, faster, not bad performance, rapid detection of image feature points and matching.
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Size: 1362944 |
Author: 张东兴 |
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Description: 基于SURF特征点的图像匹配算法，C++代码。-C/CPP cods for image matching based on SURF.
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Size: 200704 |
Author: Colin Lee |
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Description: surf特征点提取与匹配，该算法能达到实时性的要求，不仅能用于两幅图的匹配，还能用于单幅图的复制粘贴取证-surf feature point extraction and matching, this algorithm can achieve real-time requirements, not only for the two graph matching, but also for single figure copy and paste forensics
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Size: 721920 |
Author: 张艳华 |
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Description: 该匹配算法是用surf特征点和随机一致性算法共同完成的，精度高，可靠性好。代码是OpenCV，C++写的 效果不错。-The matching algorithm is surf feature points and random consistency algorithm together to complete, high precision, good reliability. Code is OpenCV, C++ write good results.
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Size: 1307648 |
Author: 李增前 |
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Description: 提取surf特征点，并使用ransac算法剔除误匹配点-use surf detect feature points and use ransac delete wrong matching points
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Size: 4096 |
Author: 陈巍然 |
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Description: 同样是SURF 特征点提取和匹配算法的 MSVC 08 版本。-Also SURF feature extraction and matching algorithms MSVC 08 version.
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Size: 365568 |
Author: sleangao |
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Description: Harris，SURF特征点提取匹配算法，两种算法实例比较-Harris, SURF feature point extraction matching algorithm compares two algorithms examples
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Size: 495616 |
Author: 李琳 |
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Description: SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。
采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
-SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching.
This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
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Size: 2070528 |
Author: 马丁 |
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Description: 图像处理中经常用到的算法。。。比较常用surf特征点匹配、二值化、边缘等需要配置相应的库才能运行-Image processing algorithm is often used in... More commonly used surf feature points matching, binarization and edge need to configure the corresponding library to run
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Size: 9939968 |
Author: 顾浩 |
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Description: 特征点提取与匹配，很好的一种图像配准算法-Feature point extraction and matching, a good image registration algorithm
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Size: 1425408 |
Author: 卢冰 |
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Description: 利用surf算法进行图像特征点匹配 自带示例图片 只包含匹配无融合内容-Using surf algorithm for image feature point matching with the sample image contains only the matching of non fusion content
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Size: 1422336 |
Author: 李志鹏 |
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Description: surf 特征点匹配算法能很好的，对两幅图像的特征点进行匹配(Surf feature point matching algorithm can well match the feature points of two images)
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Size: 20675584 |
Author: 聖轩
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Description: 基于opencv实现的surf算法代码
最终输出左右影像特征点图、匹配连线图以及良好匹配点的坐标txt文件(Surf algorithm based on OpenCV)
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Size: 4149248 |
Author: sixpos
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Description: 基于亮度/色彩一致性，在SURF算法的基础上提出了一种快速图像特征点匹配算法，可以缩小特征点匹配所需的运行时间，提高正确匹配率。(Based on the brightness / color consistency, a fast image feature point matching algorithm based on SURF algorithm is proposed, which can reduce the running time of feature point matching and improve the correct matching rate.)
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Size: 2048 |
Author: 落尘薇
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Description: 针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)
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Size: 2048 |
Author: 九月晴空 |
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Description: 基于opencv库的条件下，实现SURF+brief算法的特征点的提取与匹配，直接复制粘贴即可(Under the condition of OpenCV library, we can extract and match the feature points of SURF+brief algorithm, and copy and paste directly.)
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Size: 10240 |
Author: Jackie_李小宝 |
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Description: 实现SURF特征点描述子算法，并使用Oxford Dataset图像自动进行精度评价(SURF feature descriptor and matching precision evaluation)
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Size: 1024 |
Author: 珊瑚海枫 |
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