经过前期的数字图像处理以及检索的技术研究之后，可以根据图像的数据格式、显示方式等特点决定采用哪种框架。...

SerialH263.zip 串口和H.263-SerialH263.zip serial and H.263

这个例子使用OPGL写的一个工程，它通过界面的控件来操作模型，得到了较好的真实感。-OPGL use the example of a writing project, which is through the control interface to operate model, a better realism.

车辆视频检测和号牌识别的电子书籍，详细描述了车辆的检测、分割、识别的算法设计。-Vehicle number plate recognition video detection and electronic books, a detailed description of the vehicle detection, segmentation, identification of the algorithm design.

人脸识别中的分支―皮肤识别，相当于一个简单的边缘检测系统。用C#实现皮肤识别功能。文件包含源代码。-Face Recognition branch-skin identification, the equivalent of a simple edge detection system. C# skin recognition functionality. Document contains the source code.

java的图像处理程序,很简单的,很实用-java image processing is very simple and very practical

一个有提示的c++类,mfc,希望对大家有用,不需帐号就可自由下载此源码-a prompt c categories, mfc hope useful for all, without account can download this free source

Cognitive radio frequency spectrum detection-The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands. It is assumed that in each subband either a primary user (PU) is active or absent in a additive white Gaussian noise environment with an unknown variance. It is also assumed that at least a minimum given number of subbands are vacant of PUs. In this multiple interrelated hypothesis testing problem, the noise variance is estimated and a generalised likelihood ratio detector is proposed to identify possible spectrum holes at a secondary user (SU). Provided that it is known that a specific PU can occupy a subset of subbands simultaneously, a grouping algorithm which allows faster spectrum sensing is proposed. The collaboration of multiple SUs can also be considered in order to enhance the detection performance. The collaborative algorithms are compared in terms of the required exchange information among SUs in some collaboration

一个用java3d做的模拟一个简单的院子和简单的形体动画。-java3d done with a simulation of a simple courtyard and the simple physical animation.

一些3D图形的绘制例子.-some 3D graphics rendering example.

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.