MT-plot

影像内定向程序编写，便于实习航摄影像的内定向(Orientation within the image programming, easy to practice within the aviation photography as directed)

说明：  MATLAB源代码实现BP人工神经网络算法。(BP Neural Network based on MATLAB. )

A few people have been asking for configurable rendering, especially since Twitter Bootstrap has become popular. Rajeesh CV submitted a pull request that introduced a view model for the Pager, the PaginationModel. This view model made it very easy to create an option where you can specify a DisplayTemplate that is used for the actual rendering. It works like any other ASP.NET MVC DisplayTemplate and requires a model of PaginationModel. As a bonus, the PaginationModel makes unit testing a lot easier

本书是第一本也是唯一一本详细介绍LOD(Level of Detail)的书。本书介绍了LOD的理论和多种实现的算法，讨论了LOD的实际应用，包括游戏编程中的优化、地形的优化等。本书是所有从事计算机图形领域的专业人士所必须参考的书，包括计算机游戏编程、医学可视化、计算机辅助设计，以及虚拟现实系统等等。(This book is the first and only one detail LOD (Level of Detail) book. This book introduces the theory and a variety of LOD realization algorithm, discussed the practical application of LOD, including game programming in the optimization, optimization, such as terrain. This book is all persons engaged in the field of computer graphics professionals who need to reference books, including computer game programming, medical visualization, computer-aided design and virtual reality systems.)

说明：  图像加密后期测试的程序，用来评价加密图像的质量好坏，可用于图像加密方面(mage encryption late test procedures, used to evaluate the quality of encrypted images, can be used for image encryption)

说明：  自己编写的matlab程序，用于广义高斯分布的形状参数估计。(Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation.)

一个简单的例子，演示如果通过VC使用进度条空间(A simple example demonstrates how to use progress bar space through VC)

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

一个卫星绕地球转的程序。。。。。。。。。。(A satellite around the earth' s rotation program)

图像分割方法，可以自动获取目标图像的边界，并且可以有效分割灰度不均匀图像(The level set segmentation method can automatically obtain the boundary of the target image, and can effectively segment inhomogeneity image.)