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Description: SURF spped up robust features openCV 实现
为源代码 Fast SIFT
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Author: hu |
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Description: sift 图像特征点提取算法。国外一个博士写的C++代码。-sift image feature extraction algorithm. A foreign written by Dr C code.
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Author: Haibo |
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Description: SURF spped up robust features openCV 实现
为源代码 Fast SIFT-SURF spped up robust features openCV the realization of the source code for the Fast SIFT
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Author: hu |
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Description: 尺度空间建立,图像读取,显示，输出 基本的图像处理函数 ，sift 算法的改进,sift算法的降维处理，是目前比较快的算法-Scale space set up, image read, display, output of basic image processing functions, sift algorithm, sift algorithm for dimensionality reduction treatment, is relatively quick algorithm
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Size: 683008 |
Author: 刘金贵 |
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Description: Speeded Up Robust Features 在SIFT特正点匹配算法上进行改进，代码已完成Matlab->VC的程序打包-Speeded Up Robust Features in the SIFT matching algorithm special on-time improvement, the code has been completed Matlab-> VC packing process
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Author: 萧峙清 |
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Description: 有两篇关于使用SIFT进行快速图像匹配的文章，发上来，共享之。-There are two quick on the use of SIFT image matching articles, hair up, sharing the.
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Author: Zoro |
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Description: SIFT算法用于处理遥感图像的论文，发上来希望对某些人有用。-SIFT algorithm is used to dealing with remote sensing images of papers, hair up want to be useful for some people.
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Author: Zoro |
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Description: 图像特征提取以及匹配，sift代码。可用于图片检索中，同比SURF，其算法可以较好的识别图像中文字-Image feature extraction and matching, sift the code. Can be used for image retrieval, up by SURF, the algorithm can better identify the image text
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Author: sandy |
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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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Author: 张东兴 |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition
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Author: 张数 |
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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: 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。-Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram
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Author: lipiji |
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Description: 摘要：针对SIFT 特征提取的硬件实现结构复杂、难以达到实时性的问题，提出一种改进的高斯金字塔构建方法，该方法从
构建高斯金字塔的原始意义出发，大幅减少了所需的运算时间和存储单元。同时提出并验证了合适的SIFT 参数配置，以及
具体的硬件优化和并行实现方案，使整个系统可以在一片单独的FPGA 芯片上实现。该系统读入串行像素数据流，输出关键
点的特征描述符，并采用256×256 的图像对其进行了仿真验证，结果表明完全达到了实时的效果。
关键词：特征点 实时 尺度不变特征变换 现场可编程逻辑门阵列 高斯差-Abstract：To solve the complexity of hardware implementation of SIFT feature detection and hard to achieve a real time action, an advanced
method of building Gaussian filter cascade is presented. This method is based on the original purpose of Gaussian filter cascade
and greatly reduces the time and memory of computation. Suitable parameters of SIFT are given out and verified, and also, detail of
the parallel hardware architecture systemis proposed, which can embed whole system on a single chip. This architecture receives a pixel
stream as input and produces as output the detected features of key point. The performance of the system is checked up with images of
256*256 pixels and it gives a absolutely real time result.
Key words：feature point real time SIFT FPGA DOG
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Size: 241664 |
Author: 李齐贤 |
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Description: SURF_DETECTOR
SURF (Speeded Up Robust Feature) is a robust image detector and descriptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the SIFT descriptor.
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Author: Kim |
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Description: MATLAB工具sift实现图像拼接，上下拼接-MATLAB tool sift image stitching, stitching up and down
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Size: 668672 |
Author: qiaoyueyou |
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Description: 考虑了放射变换因素，比sift有更好的效果，但是速度由于增加了旋转的考虑会变慢很多！-A fully affine invariant image comparison method, Affine-SIFT (ASIFT) is introduced. While SIFT is fully invariant with respect to only four parameters namely zoom, rotation and translation, the new method treats the two left over parameters : the angles defining the camera axis orientation. Against any prognosis, simulating all views depending on these two parameters is feasible. The method permits to reliably identify features that have undergone very large affine distortions measured by a new parameter, the transition tilt. State-of-the-art methods hardly exceed transition tilts of 2 (SIFT), 2.5 (Harris-Affine and Hessian-Affine) and 10 (MSER). ASIFT can handle transition tilts up 36 and higher.
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Size: 1491968 |
Author: liub |
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Description: sift图像算法的c++程序实现，毕业论文做的，发上来给大家玩一下-the sift the image the algorithm c++ program realization thesis, made up to play
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Author: jljlg |
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Description: SURF算子(Speeded Up Robust Feature)是一种稳健的图像检测和描述算子。算法中有一部分是受到SIFT算子启发，标准SURF算子运算速度比SIFT快几倍并且在不同图像转换时要比SIFT更稳定。-SURF operator (Speeded Up Robust Feature) is a robust image detection and description operator. Part of the algorithm is subject to the SIFT operator enlightening the standard SURF count sub-computation speed is several times faster than the SIFT and more stable than the SIFT different image conversion.
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Size: 719872 |
Author: 郭涵 |
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Description: 在GPU-CUDA平台上进行SIFT特征提取，加快提取速度-On GPU-CUDA platform SIFT feature extraction, speeding up the extraction rate
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Description: 三维重构的思路很简单，用OpenGL中纹理贴图功能，将平面图像中的三角形逐个贴到计算出的三维坐标上去就可以了。为了便于观察3D效果，我还设计了交互功能：用方向键可以上下左右旋转重构的模型，用鼠标滚轮可以放大或缩小。用gluLookAt函数可以实现视点旋转的功能。三维重构的代码实现在glFuncs.cpp中。(Three-dimensional reconstruction of the idea is very simple, with OpenGL texture mapping function, the plane image of the triangle one by one to the calculated three-dimensional coordinates up on it. In order to facilitate the observation of 3D effects, I also designed the interactive function: the arrow keys can be rotated up and down around the reconstructed model, with the mouse wheel can zoom in or out. Use gluLookAt function to achieve the function of point rotation. The three-dimensional reconstructed code is implemented in glFuncs.cpp.)
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Author: 0908
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