这个光盘资料里面包含ARX编程基础和创建编辑基本图形对象的原程序...

概率统计试验演示系统，可以进行常见的各种分布演示，中心及限定里演示，二维正态分布演示，画统计图（经验分布图，直方图，核密度图等）-Probability and Statistics test demonstration system can be common to a variety of distribution demonstration centers and qualified in the demonstration of normal distribution of two-dimensional presentation, drawing charts (the experience of distribution maps, histograms, kernel density map, etc.)

vc在线签名鉴定原码,包含AR算法和DTW算法及应用实例.-vc online signature verification original yards, including AR algorithm and DTW and application examples.

ARX辅助设计,可以完成简单的ARX画图与编辑-ARX-aided design, to complete a simple drawing and editing ARX

用c++的mfc和opengl中相关函数实现物体的三位观察-Using c++ in mfc and opengl in the correlation function of the three observation of objects

vc++制作数码相机等设备的快照,一个和好的数字图像处理的原代码-vc production of digital cameras and other equipment snapshot, and a good digital image processing of the original code

贝塞尔画直线和圆，没有使用ＯＰＥＮＧＬ侦中画线的功能，运用的是贝塞尔画线、画圆的算法-Bezier drawing a straight line and circle, do not use OPENGL drawing a line in the detection function, using the Bessel painting lines, the algorithm drawcircle

图型学的一个演示，包括：坐标系的建立，正平行投影，斜等侧投影，斜二侧投影，长方体的建立，旋转轴的建立，长方体绕轴的旋转。-map-a demonstration of the school, including : the establishment of the coordinate system is parallel to the projection, such as lateral oblique projection, the two lateral oblique projection. Cuboid the establishment, the establishment of the axis of rotation, cuboid around the rotation axis.

刚开始学习VC++ 做的程序，，呵呵，，乱七八糟的，，比CGraph类差远了-VC just started learning to do the procedures, what mess, and worse than CGraph category from the world, and

图形基本形状单元绘制程序, 值得参考,运行通过,做了一些优化.-Basic shape of unit graphics drawing program, it is also useful, run through, to do some optimization.

虽然图像对齐方式在不同的计算机视觉领域中研究几十年了，对齐图像描绘不同的场景仍然是一个具有挑战性的问题。类似于在哪里到其世俗地相邻帧对齐图像的光流，我们建议 SIFT 流，一种对齐于它的近邻包含多个场景的大图像语料库中的图像的方法。匹配两个图像，同时保留空间不连续性之间的密被采样，得到 SIFT 特征的 SIFT 流量算法组成。SIFT 特征允许跨不同的场景对象外观的鲁棒性匹配而不连续保持空间模型允许匹配的对象位于不同的地区的场景。实验结果表明，该方法鲁棒对齐复杂场景对含有显著的空间差异。基于 SIFT 流，提出了对齐基于图像分析和图像信息在那里从最近邻转移到密集的场景对应的查询图像的合成、 大型数据库框架。这一框架证明通过具体的应用程序如从单个图像，通过对象传输运动合成的运动领域预测卫星图像注册与人脸识别。