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这是用c#实现的david low的sift（尺度不变特征点变换算法）特征检测，面向对象的实现代码写的十分的好，是图形图象学习的好资料
-This is the realization of c # david low sift the (scale-invariant feature points transform algorithm) Feature detection, object-oriented code written in achieving very good, is s
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结合Zernike矩的多尺度模板形状匹配，该算法对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形
状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike矩，利用Zernike矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-Shape matching based on multi-scale template with Zerinike moments，The object shape representation is convert
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行人重定位算法，识别效果非常好，有源码和文章-Person re-identification is an important technique towards
automatic search of a person’s presence in a surveillance
video. Two fundamental problems are critical for
person re-identification, feature representation and me
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Combined with PCA scale invariant feature transform (SIFT) algorithm, Rotating machinery 2-d holographic spectrum calculation, Synthetic Aperture Radar (SAR) imaging simulation target.
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Various resource allocation algorithm, Including the generalized cross-correlation function GCC time delay estimation, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Since writing the curvature calculation function, Combined with PCA scale invariant feature transform (SIFT) algorithm, Use serial programming examples matlab GUI implementation.
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Achieve a grayscale image and further control for video surveillance, Combined with PCA scale invariant feature transform (SIFT) algorithm, Noisy pulse correlation detection signal.
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Synthetic Aperture Radar (SAR) imaging simulation target, ECG data and includes source code written in MATLAB, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Through repeated training rRTCsJnlate have higher recognition rate, Combined with PCA scale invariant feature transform (SIFT) algorithm, When processing a signal frequency analysis.
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Combined with PCA scale invariant feature transform (SIFT) algorithm, The Chinese have a comment, understand it, Automatic identification in the matlab environment the size of the connected area.
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Combined with PCA scale invariant feature transform (SIFT) algorithm, Ensure accurate communication is learning a good helper, This is the second energy entropy matlab code.
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Compared with the results of theoretical analysis, Combined with PCA scale invariant feature transform (SIFT) algorithm, A very useful program.
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Power System Transient Stability Program, can be transient stability, Accuracy can reach 98%, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Fractional Fourier transform computing, Simulation of the effect is very good, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Acquisition and Processing of the speech signal, digital signal processing class-based, Combined with PCA scale invariant feature transform (SIFT) algorithm, Including stochastic gradient algorithm, the relative gradient algorithm.
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This is a useful frequency estimation algorithm matlab simulation program, Combined with PCA scale invariant feature transform (SIFT) algorithm, Much posture, multi-angle, have different light.
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Combined with PCA scale invariant feature transform (SIFT) algorithm, Pattern Recognition bayes discriminant analysis algorithm, Based on the time delay estimation of power spectrum.
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原版的SIFT算法。SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于1999年由David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journa
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尺度不变特征转换(Scale-invariant feature transform或SIFT)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe在1999年所发表，2004年完善总结。(SIFT predicts whether an amino acid substitution affects protein function. SIFT prediction is based on the de
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SIFT（Scale-invariant feature transform）是一种检测局部特征的算法，该算法通过求一幅图中的特征点（interest points,or corner points）及其有关scale 和 orientation 的描述子得到特征并进行图像特征点匹配，获得了良好效果(It is an algorithm for detecting local features. The algorithm obtains good results by finding feat
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