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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。
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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: 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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Size: 26406912 |
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: 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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Size: 51200 |
Author: Deng Fu Qin |
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Description: 1999年,David G. Lowe提出SIFT算法的英文文章,研究图像拼接的应该仔细读一下。-1999, David G. Lowe proposed SIFT algorithm English articles, research image mosaic should be carefully read.
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Size: 456704 |
Author: quanshuiwusheng |
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Description: David G. Lowe对SIFT算法进行完善的英文文章,研究图像拼接的应该仔细读一下。-David G. Lowe for SIFT algorithm to improve the English articles, research image mosaic should be read carefully.
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Size: 490496 |
Author: quanshuiwusheng |
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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 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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Size: 243712 |
Author: lyn |
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Description: David G. Lowe关于sift特征点检测的牛文。-A famous paper about sift detection by David G. Lowe.
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Size: 490496 |
Author: 王学文 |
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Description: THis is a presentation on Viola Joans Method and SIFT method introduced by David.G.Lowe
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Author: pasindu |
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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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Size: 456704 |
Author: neomax |
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Description: Matt Brown 和 David G. Lowe 关于图像拼接的demo-Matt Brown and David G. Lowe' s demo on the image mosaic
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Size: 1386496 |
Author: 李娜 |
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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: 本代码是用来检测图像的局部不变特征的,主要参考DAVID G. LOWE的sift的论文。变成工具是matlab。-This code is used to detect the image of local invariant features, the main reference DAVID G. Lowe s sift paper. Become a tool is Matlab.
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Description: 是检测sift特征点的代码,下VS和OPENCV的环境下开发的。以DAVID G. LOWE的sift的论文为原型。-The detection sift feature point code developed under VS and OPENCV environment. DAVID G. The Lowe sift paper prototype.
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Description: MATTHEW BROWN AND DAVID G. LOWE两位大牛写的全景拼接文章-MATTHEW BROWN AND DAVID G. LOWE two large cattle written article panorama stitching
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Size: 943104 |
Author: 吴辉 |
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Description: 适合图像匹配学习的初学者。David G. Lowe的SIFT演示算法。经过个人使用后,有很多注释说明。-Image matching is suitable for beginners to learn. David g. Lowe SIFT algorithm of demonstration. Through personal use, there are a lot of annotated.
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Size: 27080704 |
Author: Lance |
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Description: 自动全景图生成示例程序,Matthew Brown and David G. Lowe的Automatic Panoramic Image Stitching using Invariant Features文章中的算法-The Automatic Panoramic Image Stitching theory is developed by Matthew Brown and David G. Lowe
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Size: 1240064 |
Author: king |
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Description: 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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Size: 332800 |
Author: 纸鸢 |
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