直线DDA,BRESENHAM；Bezier算法，圆bresenham算法及平移旋转算法

现场总线技术文件及细节，论文转载，未经原作者许可，不得用于商业及其他用途

jpeg2000中的熵解码中MQ解码器，在H.264.MPEG4都有所应用，这是在ADI blackfin535平台下的-JPEG2000 Entropy decoding MQ decoder, both in H.264.MPEG4 applications, this is the ADI blackfin535 platform

8预览视频（预览视频）12 9。视频设置为覆盖模式（启用视频覆盖）12 10。命名捕获文档（命名捕获文件）12

条形码开发包，几乎包括全部常见条形码编码/解码，ANSI C代码可用于各种平台。-barcode development kit, which supports almost all kinds of commonly used barcode formats. All encoding and decoding rountines are in ANSI C that can be used in variant operating platforms.

国外的一个关于STEREO方面的源码，C++语言编写，使用研究立体视觉和三维重建的工作者。-abroad for a STEREO of source code, written in C, use 3D visual and three-dimensional reconstruction workers.

是一个简单的实现了基本图形学算法的程序，包括绘制图元，区域填充，三维变换等算法的实现-is a simple realization of the basic graphics algorithm procedures, including mapping map yuan, regional filling, such as 3D Transform algorithm implementation

Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level, component classifiers independently detect components of a face. On the second level, a single classifier checks if the geometrical configuration of the detected components in the image matches a geometrical model of a face. We propose a method for automatically learning components by using 3-D head models. This approach has the advantage that no manual interaction is required for choosing and extracting components. Experiments show that the componentbased system is significantly more robust against rotations in depth than a comparable system trained on whole face patterns.

用增量算法生成凸壳-generate incremental algorithm using convex hull

这是一个基于卫星通讯的牌照自动识别收费系统，应用平台完全采用VC++开发。-This is a satellite communications-based automatic recognition of license fee system, application platform completely VC++ Development.

基于地面特征识别的室内机器人视觉导航，武汉大学硕士论文含代码-Ground-based feature recognition for indoor robot visual navigation, Wuhan University master