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Description: 主成分分析（PCA)算法是用于简化数据的一种技术,对于某些复杂数据就可应用主成分分析法对其进行简化。-principal component analysis (PCA) algorithm is used to simplify the technology of data, For some complex data can be applied Principal Component Analysis streamline its.
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Size: 3072 |
Author: 赵俊义 |
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Description: 此程序为用于主成分分析的matlab程序，可以输出贡献率及画出二维散点图-this procedure for the Principal Component Analysis Matlab procedures can export contribution rate and the two-dimensional plot paint
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Size: 4096 |
Author: 林子 |
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Description: pca主成分分析算法matlab源码，利用matlab实现pca算法。-pca principal component analysis algorithm Matlab source, using Matlab achieve pca algorithm.
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Size: 33792 |
Author: 李辙 |
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Description: 结合PCA的尺度不变特征变换(SIFT)算法源代码，可用于图像目标检测和识别。-combine PCA scale-invariant feature transformation (metabolism) algorithm source code, images can be used to target detection and identification.
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Size: 684032 |
Author: 王为 |
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Description: pca sift，比SIFT速度快，匹配精度高，-pca sift, faster than the sciences, matching high precision,
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Size: 683008 |
Author: sun shu |
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Description: PCA主元分析法进行特征提取，再进行人脸识别-PCA principal component analysis method for feature extraction, and then carried out face recognition
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Size: 2048 |
Author: chenxi |
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Description: matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础-matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for
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Size: 158720 |
Author: sutao |
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Description: 关于matlab主元分析的一个简单的实例，可供初学者参考学习。-Matlab PCA on a simple example of reference for beginners to learn.
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Size: 3072 |
Author: 刘明 |
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Description: PCA算法Matlab实例，有详细的中文注释-PCA algorithm Matlab examples detailed Chinese Notes
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Size: 1024 |
Author: 王一 |
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Description: PCA算法程序设计步骤：
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量
-PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction
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Size: 4096 |
Author: 琴 |
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Description: 这是有关ＰＣＡ算法的论文，是从万方数据库下载的。-This is the thesis PCA algorithm is downloaded from the万方database.
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Size: 522240 |
Author: 洪波 |
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Description: Principle Component Analysis matlab源码-Principle Component Analysis matlab source
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Size: 1024 |
Author: 鲁剑锋 |
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Description: matlab的一个人脸识别系统
包括gabor，pca，ica的源码-matlab a face recognition system includes gabor, pca, ica source
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Size: 47104 |
Author: wang0744 |
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Description: 共享主成份尺度不变变换PCA-SIFT代码，用于SAR图像配准，希望对各位雷达爱好者和SAR工作者有用！-Principle component analysis, PCA- Scale invariant feature transform-SIFT used for SAR processing.
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Size: 681984 |
Author: 北京 |
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Description: 一个基于matlab语言的编程，可以实现对人脸的识别算法-A matlab-based programming language can be achieved on the human face recognition algorithm
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Size: 690176 |
Author: 清风怡人 |
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Description: sift code,希望对大家有用-sift code............................
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Size: 514048 |
Author: wbj |
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Description: PCA-SIFT算法的实现，PCA-SIFT是对SIFT算法的改进，用PCA替代SIFT算法中的第四步，提高了效率，且准确率更高-PCA-SIFT algorithm implementation, PCA-SIFT SIFT algorithm is an improved SIFT algorithm with PCA instead of the fourth step, improve efficiency, and higher accuracy
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Size: 690176 |
Author: jennyyu |
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Description: 一些有关SIFT衍生算法的资料，包括ASIFT, CSIFT, PCA-SIFT, SURF算法，中英文都有，很有价值-Some of the SIFT algorithm is derived, including ASIFT, CSIFT, PCA-SIFT, SURF algorithm, in each category, great value
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Author: 王雪瑶 |
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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
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Size: 2831360 |
Author: 李青彦 |
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Description: 这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码-This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code
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Size: 1738752 |
Author: zhanglong |
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