几个在1D，2D 3D很有用，关于卡尔曼滤波器的MATLAB实现。约..

实数域内的图象扩散滤波程序,用MATLAB语言编写-real image of the region proliferation filtering procedures, using MATLAB language

java截屏幕的程序使用方便，如果不懂java2D的，建议先看看java2D-java screen interception procedures easy to use, if not understand java2D. look at the proposal java2D

布料物理模拟，有碰撞检测与响应，共轭梯度法求解-Cloth physics simulation, with collision detection and response, Conjugate Gradient Method

采用原始算法实现dib位图的读取.-using original algorithm Freehand bitmap read.

计算机图形学的几何变换，是用VC＋＋的MFC写的-computer graphics geometric transformation is the use of VC++ MFC write

这是一个用Delphi写的如何显示动态水波纹的演示程序-This is a written using Delphi shows how the dynamic ripple Demonstration Program

使用D3D从OBJ读取模型，代码由VC写成 读取后通过MESH建模-Use D3D read from the OBJ model, code written by the VC after reading through the MESH Modeling

资源描述使用视频数据，并对视频数据进行了预处理，以及对混合高斯模型提取的目标进行形态学操作，并进行了边缘检测提取出运动目标。使用的是opencv3写的

Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level, component classifiers independently detect components of a face. On the second level, a single classifier checks if the geometrical configuration of the detected components in the image matches a geometrical model of a face. We propose a method for automatically learning components by using 3-D head models. This approach has the advantage that no manual interaction is required for choosing and extracting components. Experiments show that the componentbased system is significantly more robust against rotations in depth than a comparable system trained on whole face patterns.

利用C#进行数字识别的源程序，利用C#进行数字识别的源程序。-The use of C# Digital identifiable source, using C# Digital identification of the source.