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由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。-Since only the use of images of gray-scale information, SIFT algorithm can not distinguish between good shape similar but different colors of objects. In
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VC2010可用，SIFT特征提取，并做两个图片的匹配，最终输出匹配点。适用于Windows操作系统。-VC2010 is available, the SIFT feature extraction, and make the two images match, the final output of the matching point. Applies to the Windows operating system.
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surf 方法 直接能运行 配上opencv 图像特征点匹配 sift方法的改进版本，在时间上面大大提高同时在光照方面比sift要好很多-Methods can be run directly coupled surf opencv image feature point matching method sift improved version of the above at the time of greatly increased both the light much better th
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根據sift feature 演算法找出特徵點後 進而將多張影像合成為一張大張的全景圖-According to sift feature after feature point algorithms to identify multiple images to be synthesized for a large sheet of Panoramic Image
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利用sift算法提取图像特征点，为进一步实现图像间的匹配做准备。-Sift algorithm using image feature extraction point for the further implementation of the matching between images ready to do.
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sift算法是提取特征点的经典算法，本代码全面实现了sift算法，以及特征点匹配-sift algorithm is a classic feature point extraction algorithm, the code sift the full realization of the algorithm, as well as the matching feature points
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由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩
色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点，
但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT metho
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Detecting, identifying, and recognizing salient regions or feature points
in images is a very important and fundamental problem to the computer vision
and robotics community. Tasks like landmark detection and visual odometry,
but also object re
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SIFT相关源代码。SIFT为目前为止公认的在图像特征点特权方面有很好的优点的算法-SIFT-related source code. SIFT is now recognized as privileged in the image feature point has a good advantage of the algorithm
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sift特征提取，包括三部分，特征点提取，特征点描述，特征点匹配-sift feature extraction consists of three parts, feature extraction, feature point descr iption, feature point matching.
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SIFT特征点提取方法，在图像中寻找特征点的原理和步骤。近几年用的比较多的方法。-SIFT feature point extraction method, for in the image of the feature point principle and process. In recent years more of the method of use.
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对3副图像分别用sift算法实现图像的特征点提取-Three images, respectively, sift algorithm of the image feature point extraction
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基于sift的图像特征点提取和图像拼接，有可直接运行的代码和图片-Sift the image feature point extraction and image stitching, can be directly run the code and pictures
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这是一个SIFT的特征提取程序，我已经试验过，可以找到特征点并且声称特征点描述子。代码结构很清晰，简单易懂，非常适合初学者的学习。-This is a SIFT feature extraction procedures, I' ve been tested, you can find the feature points and claimed that the descr iption of the feature point. Code structure is very clear
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基于改进SIFT的特征点提取算法的论文开题报告-Based on improved SIFT feature point extraction algorithm of thesis opening report
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根据lowe教授sift算子 对不同角度拍摄的两幅二维图像 进行特征点匹配 结果用一个 appending 子程序显示 主程序没有开源 控制台为 siftmatch.m 有一张实验结果-Professor Lowe sift operators of different angles of the two two-dimensional image feature point matching the main program not open an experimental results
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基于opencv的sift特征点匹配测试程序，对比两张图片上的特征点匹配程度-Based on the opencv sift feature point matching test program, compared to two pictures on the degree of matching feature points
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运用sift特征点提取算法提取特征点，用matlab实现图像拼接。-Feature extraction algorithm using sift feature point extraction, using matlab image mosaic.
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David G. Lowe的SIFT特征点检测及匹配源代码，内有自己总结的各文件及参数功能的PPT文档-David G. Lowe' s SIFT feature point detection and matching source code, the summary of each document has its own functions and parameters PPT documents
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sift 特征点检测 对初学者有很好的参考-sift feature point detection is a good reference for beginners
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