搜索资源列表
SIFTtutorial
- 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。
SIFT_Papers
- 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。
sift-C
- 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.
SIFT_VC(code)
- 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.
SIFT
- 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
ObjectRecognitionfromLocalScale-Invariant
- 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.
DistinctiveImageFeaturesfromScale-Invariant
- 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.
SIFT
- 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
ijcv04
- David G. Lowe关于sift特征点检测的牛文。-A famous paper about sift detection by David G. Lowe.
File1-Presentation
- THis is a presentation on Viola Joans Method and SIFT method introduced by David.G.Lowe
1object-recognition-from-sift-D.G.LOWE
- david lowe article about sift object recognition from sift D.G.LOWE-david lowe article about sift object recognition from sift D.G.LOWE
autostitch
- 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
sift
- 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
MySiftCode(Matlab)
- 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.
SIFTtutorial
- 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.
Automatic-Panoramic-Image
- 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
autostitch
- 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
sift
- 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
Image-Features-from-SIFT
- 这是DAVID G. LOWE关于SIFT的原作，其重要性和经典程度不用多说，没看过的可以学习学习-This is DAVID G. LOWE on SIFT the original, classic extent of its importance and needless to say, did not read can learn
siftDemoV4
- 加拿大University of British Columbia 大学计算机科学系教授 David G. Lowe发表于2004年Int Journal of Computer Vision,2(60):91-110的那篇标题为“Distivtive Image Features from Scale -Invariant Keypoints" 的论文。其程序代码即为上传代码，已经经过本人测试通过。-the code for Distivtive Image Features from Sca