一个很酷的多地区时间显示,视角是从北极往下看的地球.

画图，网格，实时数据监测，有很好的注释，适合画图的应用和编程。-Drawing, grid, real-time data monitoring, have very good notes, suitable for drawing applications and programming.

立体视觉匹配完整源码，可以直接使用，是机器视觉中的重要部分。-three-dimensional visual integrity of the source code matching, can be directly used in machine vision is the important part.

用于人脸识别的主成分分析和模糊支持向量机程序，通过测试，能完成工作-Face Recognition for the principal component analysis and fuzzy support vector machine procedures, to pass the test to complete the work

这是基于图像处理，用MATLAB编程，实现边缘提取后边缘细化程序-This is based on image processing, using MATLAB programming, the realization of the edge after the edge extraction process refinement

vega中的tripod碰撞检测方法，上房问题在min和Max的参数中。如果max值越大，你爬高就越大。min越小你下坡也就越大。他们的值与你的场景单位有关。他们都是极限值，如果你的房子高度在max值之下就不可能“上房”了。你的坡度落差大于min的绝对值时，他就下不去了。一般用在z和Tripod中常见-vega in the tripod of collision detection methods,上房problem min and Max parameters. If the max value bigger, you climb the greater. min greater the smaller the downhill you. Their value and your scene units. They are limits, if your house under a high in the max value can not be

局部二元模式（LBP）是一种用于在计算机视觉分类功能。 LBP是特定情况在1990年[1] [2] LBP于1994年首先描述[3] [4]它提出的纹理谱模型由于被认为是一个强大的功能的纹理分类;它已经进一步确定，当LBP是结合定向梯度直方图（HOG）的描述符，它提高了检测性能相当一些数据集。该LBP特征向量，在其最简单的形式中，通过以下方式创建的：划分检测窗口进入细胞（例如16×16像素的每个单元格）。用于在小区中的每个像素，比较像素到它的每一个8邻居（在它的左顶，左中间，左底部右顶部，等等）。跟随一个圆，即顺时针或逆时针的像素。其中，中心像素的值大于邻居的值，写入“1”。否则，写“0”。这使一个8位二进制数（通常是转换为十进制为方便起见）。计算的每个“号码”中出现的频率的直方图，在细胞内，（即，对每个组合哪些像素是较小的，哪些是大于该中心）。任选正常化直方图。串联所有细胞（归）直方图。这给出了窗口的特征向量。特征向量现在可以使用支持向量机或其他机器学习处理算法进行分类的图像。这样的分类可以用于人脸识别或纹理分析。

利用针对某目标物体训练级联的Harry分类器寻找在图像中找到包含目标物体的矩形区域-Training against a target object using a cascade of classifiers for Harry to find in the image of the rectangle that contains the object

vc 图象编程参考，大量绘图文档-vc programming reference images, large graphics files

This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.-This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum#ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.

8 数码问题， 利用人工智能的算法求解， 原创， term project 作业-eight digital, the use of artificial intelligence algorithm, originality, term project work