VC++下实现OpenGL的三维星空多轨道卫星绕地球源代码:这个程序在C++中调用OpenGL,蓝色的球体代表地球，粉红色的球体代表地球的地球的静止轨道卫星，该

virual c++程序，实现的简单绘制扇形的程序-virual c++ procedures realize a simple fan-mapping procedure

用C++ Builder进行Open GL编程的源程序库-C Builder Open GL programming source library

批量彩色图像转灰度图像，并实现重命名批量保存在新文件夹下-Batch processing of Color image transfer in to grayscales image,and rename them to save in to new file

多窗口多模式（角度)演示3d动画,c实现-multi-modal window (perspective) demonstration 3d animation, c achieve

用vc++和OpenGL实现三维地形实时动态显示,可以进行一些OPengl的相关学习，对于初学者来说是非常有帮助的！

摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检 测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决 基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi―object tracking of traf氍c scene。how to detect the occlusion is a key problem for vehicle tracking．A novel vehicle contour based method is prope∞d to deal with this problem．This method firstly extracts the 3D geometry character from the vehicle images according to the projecting theory，establishes the model of the vehicle with the euboid project contour，and then reconstructs its 3D project contour。detects and segments the occlusion l-e- sious．Compared with traditional method，it deals with the problem with less computation because it generates the ve・ hide contour firstly and no match calculation is needed．Moreover，this method is able to solve the initial occlusion problem，which could not be solved with matching based method．The experimental results show that the

用于控制步进电机带动油门传感器，采集数据，生成数据曲线并可打印报表-Used to control stepper motor driven throttle sensors, collect data, generate data curves and print statements

有序抖动图像半调程序-jitter images semi- orderly transfer procedures

registration image.two image register

图像采集 code匹配运动估计算法简介 5.2 典型运动估计算法研究 5.3 运动估计算法实 例 第6章 视频图像采集系统 6.1 图像采集系统的硬件构成 6.2 图像采集的 VC实现 6.3 常见图像采集卡的性能指标 6.4 图像采集系统应用... -image acquisition code matching motion estimation algorithm 5.2 Introduction typical motion estimation algorithm 5.3 motion estimation algorithm examples in Chapter 6 Video Image Acquisition System 6.1 image acquisition system hardware 6.2 Image Capture the VC 6.3 Common Image Capture Card performance indicators Image Acquisition System 6.4 application