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MeanShift +Kalman(上传至Pudn)
基于Kalman滤波和Meanshift算法的目标跟踪算法的C++程序，运行可用，具有参考价值。(The C++ program of target tracking algorithm based on Kalman filter and Mianshift algorithm is available and has reference value.)
- 2018-09-17 15:33:14下载
- 积分：1
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DCT
基于DCT域的鲁棒水印，能抗击一定程度的压缩，剪切等攻击(Based on the DCT domain robust watermarking, can fight against a certain degree of compression, shear, such as attacks)
- 2008-12-29 23:46:00下载
- 积分：1
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Source-code
Stereoscopic video coding
- 2011-11-03 20:21:44下载
- 积分：1
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纹理特征提取
采用gabor算法，灰度共生矩阵、灰度梯度共生矩阵提取图像纹理信息(Using Gabor algorithm, gray level co-occurrence matrix and gray level gradient co-occurrence matrix to extract image texture information)
- 2020-11-05 17:49:50下载
- 积分：1
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基于SAR回波信号模型的合成孔径雷达点目标成像仿真程序
基于SAR回波信号模型的合成孔径雷达点目标成像仿真程序，可以取得很好的电成像效果。(Synthetic aperture radar echo point target imaging simulation program.)
- 2018-10-29 10:18:32下载
- 积分：1
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Matrix-positioning-procedure
基于MDS-MAP和矩阵重复优化的无线传感器网络定位程序(Matrix based on MDS-MAP and repeat the optimization of wireless sensor network positioning procedure)
- 2012-01-18 20:23:11下载
- 积分：1
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meanshift
说明： meanshift算法实现目标的跟踪，由视频序列文件中提取出第一帧，定义目标区域，进行跟踪，动态显示跟踪结果(meanshift target tracking algorithm, by the video sequence documents to extract the first frame, the definition of the target area, tracking, tracking the results of dynamic display)
- 2008-11-03 11:01:06下载
- 积分：1
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图像去雾算法源代码c++
图像去雾c++版源代码，实现效果还不错，可直接运行。(Fog to remove the c++ version of the source code, the effect is not bad, can be run directly.)
- 2020-09-02 18:08:07下载
- 积分：1
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HMRF_EM_image
这是一个经典的马尔科夫场程序。算法详细，而且里面含有一篇与程序对应的文献，解释非常详细，程序非常好用(This is a classical Markov field program. Algorithm is detailed, but it contains a corresponding literature and procedures, explaining in great detail, the program is very easy to use)
- 2021-03-02 23:29:33下载
- 积分：1
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discrim_rf
斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination
in A Dense Feature Representation
The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )
- 2012-10-30 16:17:30下载
- 积分：1
