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Description: 包含了SIFT由提出到成熟最经典的两篇文章!如需详细了解其内容的,这是个不错的选择!
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Author: hezhongsheng |
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Description: Rob Hess 開發的SIFT Feature Detector程式
These functions also work with image feature files from both David Lowe s SIFT detector and the Oxford VGG s affine covariant feature detectors.
http://web.engr.oregonstate.edu/~hess/index.html
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Author: Michael |
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Description: The SIFT feature detection algorithm has been invented and published by David
Lowe at the University of British Columbia. A detailed account of the complete
algorithm is available at http://www.cs.ubc.ca/~lowe/papers/ijcv03-abs.html
-The SIFT feature detection algorithm has been invented and published by DavidLowe at the University of British Columbia. A detailed account of the completealgorithm is available at http://www.cs.ubc.ca/ ~ lowe/papers/ijcv03-abs.html
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Author: painfulresult |
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Description: 这是用c#实现的david low的sift（尺度不变特征点变换算法）特征检测，面向对象的实现代码写的十分的好，是图形图象学习的好资料
-This is the realization of c# david low sift the (scale-invariant feature points transform algorithm) Feature detection, object-oriented code written in achieving very good, is studying graphic images of good information
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Author: 潘宁 |
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Description: 展示David G. Lowe的SIFT算法。有很多解释说明。通俗易懂，适合初学者。-David G. Lowe displayed the SIFT algorithm. There are many explanations. User-friendly, suitable for beginners.
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Author: Wei |
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Description: 自从David G. Lowe提出SIFT算法。有很多解释说明，应用和发展。这里搜集了主要有贡献的文章。
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Author: Wei |
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Description: 包含了SIFT由提出到成熟最经典的两篇文章!如需详细了解其内容的,这是个不错的选择!-SIFT includes raised to maturity by the most classic article 2! For more information about its contents, this is a good choice!
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Author: hezhongsheng |
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Description: Rob Hess 開發的SIFT Feature Detector程式
These functions also work with image feature files from both David Lowe s SIFT detector and the Oxford VGG s affine covariant feature detectors.
http://web.engr.oregonstate.edu/~hess/index.html-Rob Hess developed SIFT Feature Detector program These functions also work with image feature files from both David Lowe s SIFT detector and the Oxford VGG s affine covariant feature detectors.http:// web.engr.oregonstate.edu/~ hess/index. html
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Author: Michael |
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Description: sift—这是一个外国人的关于SIFT的源程序！很强大！-sift-This is a foreigner on the SIFT source! Very powerful!
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Author: gongzhaojin |
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Description: Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe
这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。
-Distinctive Image Features from Scale-Invariant Keypoints
David G. Lowe
这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。
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Author: Deng Fu Qin |
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Description: 两份SIFT的重要资料：Distinctive Image Features from Scale-Invariant Keypoints（by David G. Lowe）,SIFT特征匹配技术讲义(by 赵辉)-SIFT two important information: Distinctive Image Features from Scale-Invariant Keypoints (by David G. Lowe), SIFT feature matching technical notes (by Zhao Hui)
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Description: David Lowe s SIFT Demo
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Author: denny |
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Description: David G. Lowe 的SIFT算法实现。 这个用纯c编写，不实用matlab，方便调用。-David G. Lowe' s SIFT algorithm. The pure c written impractical matlab, easy call.
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Author: lyn |
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Description: david lowe article about sift object recognition from sift D.G.LOWE-david lowe article about sift object recognition from sift D.G.LOWE
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Author: neomax |
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Description: 1999年British Columbia大学大卫.劳伊（David G.Lowe）教授总结了现有的基于不变量技术的特征检测方法，并正式提出了一种基于尺度空间的、对图像缩放、旋转甚至仿射变换保持不变性的图像局部特征描述算子－SIFT（尺度不变特征变换），这种算法在2004年被加以完善。
-University of British Columbia 1999, David Rowe (David G. Lowe) summed up the professor is not variable based on existing technology, feature detection methods, and formally proposed based on scale space for image scaling, rotation or even affine transform the image to maintain local features invariant description operator-SIFT (Scale Invariant Feature Transform), this algorithm is to be improved in 2004.
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Author: chenping |
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Description: Sift implementation with opencv, this method Applys David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image.
-Sift implementation with opencv, this method Applys David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image.
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Author: mazoul82 |
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Description: Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image. This algorithm takes a grayscale image as input and returns a set of scale- and rotationally invariant keypoints allong with their corresponding feature descriptors.-Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image. This algorithm takes a grayscale image as input and returns a set of scale- and rotationally invariant keypoints allong with their corresponding feature descriptors.
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Author: mazoul82 |
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Description: 尺度不变特征转换是一种计算机视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe 在1999年所发表，2004年完善总结。程序已调通，在match.m中改变所处理图片的名称即可。相关参考文献已上传本网站，Distinctive Image Features Scale-Invariant Keypoints
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Author: baishibailing |
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Description: 原版的SIFT算法。SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于1999年由David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV） 。截止2014年8月，该论文单篇被引次数达25000余次(SIFT, the scale invariant feature transform (Scale-invariant feature transform, SIFT), is a description for image processing This description is scale invariant, and it can detect key points in images. It is a local feature descriptor. The method was first published by David Lowe in International Conference on Computer Vision (ICCV) in 1999. In 2004, it was finished by David Lowe again and was published in International Journal of computer vision (IJCV). As of August 2014, the citation number is more than 25000 times)
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Author: fade-war
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Description: 尺度不变特征转换(Scale-invariant feature transform或SIFT)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe在1999年所发表，2004年完善总结。(SIFT predicts whether an amino acid substitution affects protein function. SIFT prediction is based on the degree of conservation of amino acid residues in sequence alignments derived from closely related sequences, collected through PSI-BLAST. SIFT can be applied to naturally occurring nonsynonymous polymorphisms or laboratory-induced missense mutations.)
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Author: lllllliiiii |
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