搜索资源列表
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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.
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基于SIFT特征跟踪的的图像稳定技术研究，我的毕业设计，附带MATLAB源代码及图片-SIFT-based feature tracking of image stabilization technology, for my graduation, with MATLAB source code and pictures
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sift提取特征点、描述子、最后进行匹配。-sift ：feature point，descr iptor， matching。
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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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MATLAB实现图像的SIFT特征提取，并做在不同光照、不同视角下的特征匹配-SIFT MATLAB for image feature extraction, and to do in different lighting, different from the Perspective of feature matching
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图像特征提取以及匹配，sift代码。可用于图片检索中，同比SURF，其算法可以较好的识别图像中文字-Image feature extraction and matching, sift the code. Can be used for image retrieval, up by SURF, the algorithm can better identify the image text
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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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sift 由兩張圖片算出特徵點匹配演算法-sift calculated by the two pictures feature points matching algorithm
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用matlab程序编写的，用于计算机视觉或摄影测量中图片的特征点提取。-Using matlab programming, for computer vision or photogrammetry image feature 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, MATLAB CODE
FEATURE MATCHING AND FEATURE RECOGNITION
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SIFT matlab demo scale invariant feature
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(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 us
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这是一个利用matlab语言实现的尺度不变特征变换（SIFT）的程序，适合传统特征学习的初学者深入理解SIFT特征的精髓与具体实现过程。(It is a matlab code of SIFT feature for the students of image processing and feature extraction.)
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%this code is the Matlab implimentation of David G. Lowe,
%"Distinctive image features from scale-invariant keypoints,"
%International Journal of Computer Vision, 60, 2 (2004), pp. 91-110.
%this code should be used only for academic res
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Mainly for data analysis and statistics, Channel coding, modulation, channel estimation, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Combined with PCA scale invariant feature transform (SIFT) algorithm, Graduation useful Including stochastic gradient algorithm, the relative gradient algorithm.
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Combined with PCA scale invariant feature transform (SIFT) algorithm, Modern signal processing used in the spectral estimation in matlab, Foreign model is finished.
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