▍1. _FUSION_2010
这是本人发表的目标跟踪方面论文使用的代码,是基于随机假设概率滤波的多目标跟踪算法。(This is the code used by the target tracking paper I published, filter multi-target tracking algorithm based on the probability of a random assumption.)
这是本人发表的目标跟踪方面论文使用的代码,是基于随机假设概率滤波的多目标跟踪算法。(This is the code used by the target tracking paper I published, filter multi-target tracking algorithm based on the probability of a random assumption.)
利用小波变换进行图像去噪处理,包括各种软硬阈值的选取函数(Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function)
sar 图像边缘检测算子,代码简洁,能够运行成功。(sar image edge detection,it s simple and useful 。)
了解直线拟合、平面拟合的方法 掌握用随机抽样一致 算法实现平面提取(A method of understanding straight line fitting and plane fitting Grasp the random sampling consensus algorithm for planar extraction)
说明: 很好地实现了激光雷达点云的ICP配准,附带数据(ICP registration of LIDAR point cloud is well realized)
说明: LRMR(低秩矩阵恢复模型)的IALM方法实现代码,用于图像去噪。(The IALM method implementation code of LRMR (Low Rank Matrix Recovery Model) is used for image denoising.)
基于形态学的权重自适应图像去噪;通过串并联的滤波降噪对比图,说明并联降噪的优越性(Heavy adaptive image denoising based on morphology right noise filtering by series-parallel comparison chart, show the advantages of parallel noise reduction)
说明: 提供激光雷达点云数据的读取,滤波及分类功能(LIDAR point cloud data available to read, filter and sorting functions)
基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取(The feature extraction of LiDAR point cloud data based on PCA)
使用sift算法,找出图像的关键点,使用关键点作为匹配因子对两幅图像进行匹配,数据库中包含了丰富的可用图片库。(Use sift algorithm to find the image of the key points, key points to use as matching factor of two images match, the database contains a wealth of available gallery.)
提取sift特征,通过K均值聚类形成特征包,进行图像检索。(SIFT features are extracted and image packets are retrieved through K mean clustering.)
亚像素位移和变形梯度测量采用数字图像/散斑相关(Subpixel displacement and deformation gradient measurement using digital image/speckle correlation( DISC ))
运动状态的singer模型,用于描述模型的状态方程和观测方程。(singer model for dynamic states, used to describe state function and measurement function.)
说明: 也是水平集方法的一个matlab源代码 比较经典的写的很详细 还可以做3d处理的(level is a collection of source code comparison Matlab classic written in great detail can be done to deal with the 3d)
使用admm算法解决basis_pursuit问题(Use admm algorithm to solve the problem basis_pursuit)