inverse11

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

说明：  计算视频或者图像中相邻两帧的光流场。 本光流场算法使用是 多项式展开的方法 配置好视频的路径之后，直接运行就可以了。(Calculation of video or image of two adjacent optical flow field. The optical flow algorithm using the polynomial method is a good video of the path configuration, the direct operation of it.)

基于SIFT+Kmeans+LDA的图片分类器的实现源码。 博文参考：http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html(The pictures classifier based on SIFT, Kmeans and LDA. Blog Reference: http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html)

这个matlab程序实现图像的任意角度的顺时针旋转。(The matlab program images at any angle of clockwise rotation.)

计算几何(C描述)第二版教材的配套程序,用C语言实现了本书的主要算法.(Computational geometry (C described) in the second edition of materials matching procedures, using C language to achieve the book)

对比两张图片上的散斑的变化来确定被测材料的变形和相关位移(Change of speckle contrast two images to determine the detected material deformation and displacement)

基于matlab神经网络的遥感图像分类，使用了BP神经网络(Matlab neural network-based remote sensing image classification using BP neural network)

此程序代码实现超分辨率图像的重建、复原 联合开发网 - pudn.com

直方图是以图形化参数来显示图片曝光精确度的手段，其描述的是图片显示范围内影像的灰度分布曲线。它可以帮助分析图片的曝光水平等一些信息。(Histogram is a graphical display picture exposure parameters to measure the accuracy of its description is the picture display grayscale images within the distribution curve. It can help you analyze the picture and some information on exposure levels.)

hog 特征 基于matlab的 RGB提取(realize the hog feature)