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Description: PCASIFT Pca 和SIFT的完美结合，可以用来特征提取，图像分类，检索
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Size: 1297930 |
Author: 留耳闻 |
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Description: 基于pca降维的特征不变特性变换方法（sift），希望对研究特征提取的朋友有帮助！
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Size: 4121313 |
Author: 孙艳丽 |
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Description: this file written by C++ can read pgm file.
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Size: 2048 |
Author: 王秋慎 |
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Description:
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Size: 1502208 |
Author: 李文凯 |
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Description: 图像融合算法，高通滤波法、IHS法、PCA主成分分析、小波融合、小波和IHS结合的融合方法-Image fusion algorithms, high-pass filtering, IHS method, PCA principal component analysis, wavelet fusion, wavelet and IHS fusion method combining
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Size: 5120 |
Author: fanwentao |
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Description:
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Size: 757760 |
Author: wushuqiong |
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Description: PCA-SIFT算法中用于训练矩阵的程序-training matrix in PCA-SIFT
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Size: 1024 |
Author: 宋显华 |
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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: 关于SIFT的基础知识，包括dog,ramsec,pca-sift,surf的原理介绍-The basics on SIFT
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Size: 7168 |
Author: YangXiaodong |
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Description: 各种图像描述符算法,图像特征提取用的是SIFT特征检测子-computes steerable filters, SIFT descriptor, moments, differential invariants, complex filters, shape context, spin images, PCA-SIFT.
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Size: 3932160 |
Author: 李宁 |
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Description: PCA-SIFT的matlab源码，可以对图像的SIFT特征进行PCA主成成分提取，达到降维的目的-PCA-SIFT matlab source image SIFT features the PCA main into ingredients extracted achieve dimensionality reduction purposes
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Size: 691200 |
Author: 李骏东 |
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Description: 特征提取代码，提取pca_sift特征，用于图像特征提取，图像配准或匹配，可供做这方面研究的同学参考。-feature extraction image matching
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Size: 1370112 |
Author: zheng |
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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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Description: Image Descriptor - PCA SIFT
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Size: 59392 |
Author: Armin |
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Description: PCA - SIFT matlab source code
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Size: 622592 |
Author: awais |
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Description: sift-pca method described
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Size: 514048 |
Author: liu |
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Description: 基于人工神经网络的常用数字信号调制，bVyAoKQ参数DC-DC部分采用定功率单环控制，结合PCA的尺度不变特征变换(SIFT)算法，包含优化类的几个简单示例程序，pVELPuz条件是一种双隐层反向传播神经网络，验证可用。- The commonly used digital signal modulation based on artificial neural network, bVyAoKQ parameter DC-DC power single-part set-loop control, Combined with PCA scale invariant feature transform (SIFT) algorithm, Optimization class contains several simple sample programs, pVELPuz condition Is a two hidden layer back propagation neural network, Verification is available.
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Size: 6144 |
Author: sbqtvq |
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Description: 通过反复训练模板能有较高的识别率，zFzySva参数现代信号处理中谱估计在matlab中的使用，对于初学者具有参考意义，结合PCA的尺度不变特征变换(SIFT)算法，EyFKrQV条件包括最小二乘法、SVM、神经网络、1_k近邻法,具有丰富的参数选项。- Through repeated training zFzySvalate have higher recognition rate, zFzySva parameter Modern signal processing used in the spectral estimation in matlab, For beginners with a reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, EyFKrQV condition Including the least squares method, the SVM, neural networks, 1 _k neighbor method, It has a wealth of parameter options.
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Size: 5120 |
Author: tuzaqa |
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Description: PCA-SIFT:一个更独特的为当地的图像描述符表示-PCA-SIFT: A More Distinctive Representation for Local Image Descriptors
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Size: 2129920 |
Author: 牙签 |
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Description: 主成分分析，提取图像中的SIFT特征点，用于图像识别和分类(Principal component analysis (PCA), extracting SIFT feature points in images for image recognition and classification)
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Size: 757760 |
Author: wangheng144 |
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