Description: 这是基于mean-shift运动目标跟踪的matlab仿真的程序，含有三个M文件-This is based on the mean-shift moving target tracking matlab simulation program, containing three M documents Platform: |
Size: 3072 |
Author:还非子 |
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Description: 该原代码包提供图像去噪，图像修复，求psnr值等功能。主要使用全变分方法等方法实现图像处理。-The source code package to provide image denoising, image restoration, and features such as PSNR values. The main use of methods such as variational methods realize image processing. Platform: |
Size: 389120 |
Author:Christine |
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Description: 一篇论文，讨论了基于SIFT特征的遥感影像自动配准的方法-A paper to discuss the SIFT-based features of the remote sensing image automatic registration method Platform: |
Size: 1080320 |
Author:潇布衣 |
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Description: 在Matlab中实现基于旋转尺度不变特征提取特征点的方法。-Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points. Platform: |
Size: 2634752 |
Author:quanshuiwusheng |
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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 Platform: |
Size: 1154048 |
Author:萧峙清 |
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Description: 不论科研还是应用上都希望可以和人类的视觉一样通过程序自 动找出两幅图像里面相同的景物，并且建立它们之间的对应，前几年才被提出的SIFT（尺度不变特征）算法提供了一种解决方法，通过这个算法可以使得满足一 定条件下两幅图像中相同景物的某些点（后面提到的关键点）可以匹配起来-Both research and application, or want to be like the human visual images by automatically identifying two inside the same scene, and the establishment of the correspondence between them, a few years ago was only made by SIFT (scale-invariant features) algorithm to provide a solution by this algorithm can make to meet certain conditions, the same two images, scene of some point (later referred to the critical point) can match the Platform: |
Size: 257024 |
Author:文松抑扬 |
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Description: 自动的角点检测算法。运用SIFT特征，对图像中的特征点进行提取！试过，好用！-Automatic corner detection algorithm. The use of SIFT features, right in the image feature point extraction! Tried, easy to use! Platform: |
Size: 4203520 |
Author:Sean |
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Description: 实现视频描述的方法，提取视频特征值，从2d-sift扩展到3d-sift-The video describes the method of extraction of video features of value, from the 2d-sift extended to 3d-sift Platform: |
Size: 1232896 |
Author:王旭晨 |
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Description: SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生的平移、旋转情况下的匹配问题-SIFT features matching algorithm is the hot matching algorithm of feature points at home and abroad . its matching ability is strong.It can match the feature points of two images which are rotated or traslation. Platform: |
Size: 4485120 |
Author:田晓娜 |
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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 Platform: |
Size: 6918144 |
Author:张数 |
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Description: 1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。
3 SIFT算法的主要特点：
a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤：
1） 检测尺度空间极值点
2） 精确定位极值点
3） 为每个关键点指定方向参数
4） 关键点描述子的生成
本包内容为sift算法matlab源码-1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe Platform: |
Size: 2831360 |
Author:李青彦 |
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Description: (1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT
特征描述子对其进行描述。
(2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。
(3) 使用RANSAC方法，确定变换参数。
(4) 图像融合
-(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion Platform: |
Size: 4096 |
Author:石梦鑫 |
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Description: David G.Lowe的SIFT算子 Matlab实现，运行前要把siftWin32文件放在Matlab的win目录下，具体调用请参照README-
code for detecting and matching SIFT features
David Lowe (lowe@cs.ubc.ca)
Version 4, July 6, 2005
This directory contains compiled binary programs for finding SIFT
invariant features that can run under Linux or Windows. In addition,
there is a Matlab script as well as C source code showing how to load
the features and do simple feature matching.
See the web page at
http://www.cs.ubc.ca/~lowe/keypoints/
for references to the relevant papers describing this approach. Platform: |
Size: 371712 |
Author:将为人父 |
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Description: matlab 提取SIFT特征，并完成特征点的匹配以实现复制粘贴篡改检测-Extract SIFT features of the image and match the keypoint to detect the cony-move fogery Platform: |
Size: 11994112 |
Author:谢云芳 |
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Description: SPM基于sift特征的自相关检测，可用于图像场景识别等(SPM autocorrelation detection based on SIFT features, can be used for image scene recognition) Platform: |
Size: 185344 |
Author:xcl小马哥
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