VB与AutoCAD二次开发入门技巧资料

基于静态图像的人脸识别系统,由武汉大学计算机学院开发,功能齐全,值得学习.-Based on the static image of Face Recognition System, Computer Science from Wuhan University development, full-featured, it is worth learning.

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快速提取红外图像中的运动亮点，能达到100帧/s的处理速度，需要HAlconSDK支持-Rapid Extraction of infrared images of sports highlights, to achieve 100/s processing speed, the need to support HAlconSDK

计算机图形学部分算法演示系统:包括:直线,圆,Bezier曲线,直线裁剪算法。-some algorithm in computer graphics presentation systems : including : straight lines, circles, Bezier curves, straight cutting algorithm.

这是一个可以自动识别文字的程序，对识别数字非常有效。-This is an automatic language identification procedures, to identify the number of very effective.

不用图形库函数的仿windows画图程序 这是最近做的计算机图形学实验，其界面是一个仿Windows下的窗口界面，程序具有较好的交互性。全部的图形函数都没有用C语言自带的图形库函数，所写的函数都是直接写屏实现的，模拟了大部分图形库函数的功能。但也有部分没有写出，如保存图形块的getimage()等函数。由于水平有限，还有部分功能没有实现，如保存或打开BMP图片等。等有了时间再说吧。算法什么的写的很潦草，都随便说说的，欢迎高手指点，希望与广大C语言爱好者共同学习讨论。 -No graphics library function like windows drawing program to do this is the recent experiment of computer graphics, the interface is an imitation of the window under the Windows interface, the program has better interactivity. All graphics functions are not used C language graphics library built-in function, written by direct write screen functions are achieved, the majority of simulation graphics library function function. However, some did not write, such as the preservation of graphical block getimage () function and so on. Due to the limited level, there are some features did not realize, such as saved or opened that BMP pictures. With time, etc. later. What algorithm is written in the scrawl, are casual, welcome expert guidance, I hope with the

bmp图像曝光处理-bmp image processing exposure

一个人编写的用c做得俄罗斯方块 一个人编写的用c做得俄罗斯方块-Prepared by a person doing Tetris c prepared by a person doing Tetris c

2维图形绘制编辑系统-two-dimensional graphic editing system

在混合高斯背景模型基础上，通过混合高斯匹配将前后两帧分割出的运动目标作差分，差分后再次采用混合高斯匹配分辨出过去目标区和当前目标区。在背景更新的过程中，加大过去目标区的更新率，让运动目标在出现停滞状态时给背景模型带来的干扰区域得到快速恢复。试验结果表明，该方法有效地提高背景模型的鲁棒性。停滞状态时给背景模型带来的干扰区域得到快速恢复。试验结果表明，该方法有效地提高背景模型的鲁棒性。