Description: 使用sift工具可以准确确定图片的关键点,以及匹配特征点,在确定图象相似性中有很大的作用 本程序使用matlab编写 方便执行-The use of tools can sift accurate picture of the key points identified, as well as the matching feature points, in determining the similarity of images has a significant role in the preparation of the procedures used to facilitate the implementation matlab Platform: |
Size: 376832 |
Author:hpp |
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Description: 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in different frames, and used feature monitoring to deal with object occlusion, object split and implement real-time update for objects features. Objects were matched based on the similarity voting of their features in successive frames. Experimental study had been carried out using image sequences captured in real scene. The experimental results show that the method is robust against noise, shadows, occlusion, and split and it performs multiple objects tracking finely. Platform: |
Size: 1024 |
Author:崔瑞芳 |
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Description: Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07-Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07 Platform: |
Size: 276480 |
Author:qinlei |
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Description: 基于小波变换的多分辨匹配算法:
首先利用小波的多分辩率特性将匹配图像和模板图像分解到乙层上，并且只保留LL低频部分，然后利用归一化相关法作为相似性度量，进行由粗到细的相关匹配过程，每次利用下一层的匹配结果在上层小范围内搜索。这样做极大地减少了搜索空间，而且减少了每次匹配计算相似度的数据量。
-Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the image and the template image is decomposed to the B layer, and retain only low-frequency part of the LL, and then use normalized correlation as a similarity measure, carried out by the rough to the relevant matching process, each time using the matching results of the next layer in the upper small scale search. This greatly reduces the search space, but also reduced the calculation of similarity for each match the amount of data. Platform: |
Size: 252928 |
Author:韩小芳 |
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Description: Block matching algorithm,find the most similarity block in the neighborhood. Block matching algorithm,find the most similarity block in the neighborhood.-Block matching algorithm,find the most similarity block in the neighborhood.Block matching algorithm,find the most similarity block in the neighborhood.Block matching algorithm,find the most similarity block in the neighborhood. Platform: |
Size: 2048 |
Author:bai |
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Description: 图像匹配是指通过一定的匹配算法在两幅或多幅图像之间识别同名点，如二维图像匹配中通过比较目标区和搜索区中相同大小的窗口的相关系数，取搜索区中相关系数最大所对应的窗口中心点作为同名点。其实质是在基元相似性的条件下，运用匹配准则的最佳搜索问题。图像匹配主要可分为以灰度为基础的匹配和以特征为基础的匹配。-Image matching means through a certain matching algorithm identification between two or more images corresponding points, such as 2D image matching by comparing the target area and the search area in the same size of the window correlation coefficient, the correlation coefficient of the search area maximum corresponding to the same name as the center point of the window. Its essence is the similarity in primitive conditions, the use of the best search problems matching criterion. Image matching can be divided into in grayscale-based matching and feature-based matching. Platform: |
Size: 3072 |
Author:钟富强 |
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Search - similarity matching in matlab