显示一个绕三个轴旋转的立方体，纹理是自动插值的。

因为VTK可视化工具包具有的强大的功能，可视化领域的研究人员很多都在应用它。本压缩包是在VC下编写的一个使用vtk实现用三角片组成球的例程。-Because the VTK visualization toolkit with powerful functionality, visualization research in the field of personnel and many of them in the application of it. The compressed packet is prepared with a VC VTK realize the use of the composition of the ball with a triangular piece of routine.

带阴影效果的画框-with shadow effects of frames

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

二维32位定点傅里叶变换，精度很高哦，附有测试图片，需安装opencv-32-bit fixed-point two-dimensional Fourier transform, high precision Oh, with test images, the need to install opencv

为了将零件固定在PCB上面，我们将它们的接脚直接焊在布线上。在最基本的PCB（单面板）上，零件都集中在其中一面，导线则都集中在另一面。这么一来我们就需要在板子上打洞，这样接脚才能穿过板子到另一面，所以零件的接脚是焊在另一面上的。因为如此，PCB的正反面分别被称为零件面（Component Side）与焊接面（Solder Side）。-parts to be fixed above the PCB, we will take their feet welded directly on the wiring. At its most basic PCB (single-panel), parts of which are concentrated in the side, wire were concentrated on the other side. Suppose we need burrows on the board, then through the legs of another plank, then parts of the legs is another welding in the face. Because of this, the PCB is negative components were known as surface (Component Side) and the welding surface (Solder Side).

用matlab实现的自适应中值滤波代码。-Matlab implementation by the adaptive median filter code.

matlab7 的运算符号，有关点乘和左除法、右除法-matlab7 computing symbols, the scalar multiplication and division of left and right division

用VC++写的Niblack图像分割算法；已经在本机上调通。使用Visual Studio2008+windows7或者windowsXP环境运行

图像几何变换（如旋转）时用到的最近领域和双线性插值方法，-Image geometric transformations (eg rotation), when used in recent field and bilinear interpolation methods,

基于概率框架的立体视觉匹配和运动估计方法-A Probabilistic Framework for Correspondence and Egomotion Estimation