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SIFT算法（尺度不变特征变换）Matlab 程序代码-SIFT algorithm (Scale Invariant Feature Transform) Matlab code
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用Matlab实现灰度图像SIFT（尺度不变特征变换）特征点的提取-Grayscale images with Matlab SIFT (Scale Invariant Feature Transform) feature point extraction
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Affine Scale Invariant Feature transform-Affine Scale Invariant Feature transform..
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Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. This is the matlab code.
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SIFT (scale invariant feature transform)
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sift（尺度不变特征变换 scale invariant feature transform） 特征提取与匹配-Sift feature extraction and matching
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Scale Invariant Feature transform ( SIFT)-- this code implements the SIFT algorithm which extracts features invariant to Scale, Rotation and translation from any image.
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SITF算法小结，里面包含各种SIFT的算法，可以给你提供你所需要的资料。-Scale-invariant feature transform
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高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特
征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹
配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特
性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能
有效减轻表情变化对于身份识别率急剧下降的影响，并可显著减少计算复杂度和特征匹配时间。-
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SIFT特征（Scale-invariant feature transform，尺度不变特征转换)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-SIFT features (Scale-invariant feature transform, scale-invariant feature transform) is a computer vision algorithm to detect and describe the
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Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image.
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this programme implements David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image
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采用改进的尺度不变特征变换算法计算物体旋转角度-The improved scale-invariant feature transform algorithm to calculate the object rotation
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Histogram of Oriented Gradients (HOG) are feature descr iptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method i
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The Scale-Invariant Feature Transform (SIFT) bundles a feature detector and a feature descr iptor. The detector extracts from an image a number of frames (attributed regions) in a way which is consistent with (some) variations of the illumination, vi
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Feature Extraction for pattern analysis using SIFT. well commented for proper referencing-Feature Extraction for pattern analysis using SIFT. well commented for proper referencing
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Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and na
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Speeded Up Robust Features (SURF) SURF (Speeded Up Robust Features) is a robust local feature detector invariant to scale rotation and illumination similaire to SIFT Scale Invariant Feature Transform
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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.-SIFT (Scale-invariant feature transform) is a local feature detection algorithm by finding a pictu
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