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MeanShift2
meanshift算法的python实现 + 图像化显示(meanshift with python)
- 2018-05-29 15:13:58下载
- 积分：1
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PG_BOW_DEMO
图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。(Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram )
- 2011-11-01 17:01:09下载
- 积分：1
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multi-target-tracking
多目标跟踪的主程序，包含跟踪起始，数据关联，目标状态估计等过程(The main process of multi-target tracking, including track initiation, data association, target state estimation process)
- 2013-06-26 16:26:24下载
- 积分：1
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sparse_fusion
运用最小二乘和一范数约束求解低分辨率多光谱图像和高分辨率全色图像融合成高分辨率多光谱图像，程序附带主流的图像融合评价标准，需要融合的图像，对比图像；以及附带程序所需的稀疏包(Using least squares and a norm constraint solving low-resolution multi-spectral image and panchromatic image fusion into a high-resolution multi-spectral images, the program comes with mainstream image fusion uation criteria require the integration of image contrast image and Sparse package comes with the program required)
- 2020-10-06 17:07:38下载
- 积分：1
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gradient_-method
数字散斑相关计算中，亚像素位移检测，梯度算法(sub-pixel, gradient method,DSCM)
- 2020-11-25 17:39:32下载
- 积分：1
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orthogonal-matching-pursuit
OMP算法的matlab的详细描述，对学习正交匹配追踪算法和稀疏分解是很有用的(the OMP algorithm is describled by matlab,and it is very useful for us to study OMP algorithm and sparse decomposition.)
- 2012-12-06 12:09:42下载
- 积分：1
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SFS相关所有
说明： 利用SFS算法实现3D图像重建，附带有图片实现(3D Image Reconstruction Using SFS Algorithms)
- 2019-04-25 10:34:23下载
- 积分：1
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sift_match
通过sift特征提取实现两幅图片无缝拼接(Seamless splicing of two images by SIFT feature extraction)
- 2018-05-11 15:22:13下载
- 积分：1
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DeblurringImagesUsingWienerFilter
模拟运动模糊 恢复模糊图像 对加性噪声图像的恢复等(Fuzzy simulation of the restoration of motion-blurred images of additive noise, such as image restoration)
- 2009-05-06 08:40:30下载
- 积分：1
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JROI
Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.(Compression of face images impact the perf ormance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintai ns high image quality in facial regions while co mpressing the background more, with minimal impact on FR performance.)
- 2007-02-15 22:58:14下载
- 积分：1
