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yudong
说明： 运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)
- 2010-04-12 15:29:00下载
- 积分：1
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fast-motion--deblurring
快速运动去模糊，在盲去卷积过程中运用一些加速算法(Fast motion to blur in the blind deconvolution algorithm to accelerate the process of using some)
- 2011-10-12 18:32:14下载
- 积分：1
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calibration
基于matlab的畸变校正（摄像机内外参数标定已知）(Based on the matlab the calibration)
- 2012-05-07 00:08:08下载
- 积分：1
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gridreciprial
梯度倒系数实现背景抑制,提高小目标检测的信噪比(reversing Coefficients gradient background suppression, and enhance the signal-to-noise ratio target detection)
- 2007-01-19 11:50:43下载
- 积分：1
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opticalflowofimagematch
基于光流的图像匹配程序，其中有经典的光流计算中的x,y,t的梯度函数，可以用其它主程序调用此函数(Optical flow-based image matching procedures, including the classic optical flow calculation of x, y, t of the gradient function, the main program can call this function in other)
- 2009-05-19 17:46:31下载
- 积分：1
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CVPR2011Paper
CVPR2011文章Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns(paper of CVPR2011 Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns)
- 2012-02-21 09:55:26下载
- 积分：1
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数字图像傅立叶变换
数字图像快速傅里叶变换（FFT）。将图像转化成二维灰度图像后再做FFT变换，并输出变换后的幅值图。(Digital image fast Fourier transform (FFT).The image is transformed into a two-dimensional gray level image and then the FFT transformation is made, and the amplitude diagram is output after the transformation.)
- 2018-03-08 15:13:02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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matlab
输入一幅图像，用传统的算子方法进行检测与用形态学腐蚀之后使原图像与腐蚀后的图像相减得到图像边缘进行比较(The Mathematical Morphology Image Edge Detection Based on MATLAB)
- 2016-03-31 09:48:33下载
- 积分：1
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GS
说明： 运用二元光学元器件实现高斯激光光束的波形整形(Using binary optical components Gaussian laser beam waveform shaping)
- 2013-12-30 00:08:35下载
- 积分：1
