XNA3.0创建地形,根据McGraw.Hill.Microsoft.XNA.Game.Studio.Creators.Guide.Jun.2007.pdf第2...

VTK中关于颜色传递参数设置的教学程序，关于图像颜色的一些代码-VTK transmission parameters on the color settings of the teaching process, the number of colors on the image code

采用Visual C++6.0编写，将一个位图文件显示出来，并用ADSW键控制场景移动。对于想学习游戏编程的同学会有一定帮助。-Using Visual C++ 6.0 prepared a bitmap file is displayed, and button control scenes ADSW mobile. Want to learn programming for the game will definitely help the students.

GDI二维图形操作，平移放缩等-GDI 2D graphics operations, such as translation Zooming

kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP -kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Outpu

       计算机图形学(Computer Graphics，简称CG)是一种使用数学算法将二维或三维图形转化为计算机显示器的栅格形式的科学。简单地说，计算机图形学的主要研究内容就是研究如何在计算机中表示图形、以及利用计算机进行图形的计算、处理和显示的相关原理与算法。

将对话框“钉”在屏幕上-dialog box will "nail" on the screen

VC++6.0开发的数字和汉字识别源码，数字识别相对简单，这里的汉字识别也是基础的方法，希望对初学者有帮助-VC++ 6.0 development source code of numbers and character recognition, digital identification of relatively simple, here is the Chinese character recognition based approach, and they hope to help beginners

原创的角点检测程序，使用 VC++ 编写，通过调用 Intel 的 OpenCV 库实现。-original corner detection, the use of VC prepared by calling Intel"s OpenCV library implementation.

实现了图像识别的matlab程序，可以直接使用，里面有例子，适合新手学习-To achieve the image recognition matlab program can be used directly, which there are examples, suitable for novice to learn

传统的单粒子重建方法使用傅立叶或delta 函数基础来表示粒子密度图。我们提出了一个更灵活的算法，可以根据数据适应性地选择基础。由于基础适合数据，跟使用固定基础重建相比，分辨率和讯噪比(SNR) 都得到提高。而且，该算法自动遮盖粒子，使得粒子从背景中分离出来，无需在精制循环中使用专门滤波器或者蒙层。该算法是基于贝叶斯定理最大后验框架中表示，使用有效优化算法获得最大化。评估使用模拟和实际的低温电子显微镜数据，显示分辨率和 SNR 改进以及从背景中有效遮挡粒子。