gui界面

说明：  彩色立方体控制 彩色立方体 控制 彩色立方体 控制 彩色立方体(color cube control color cube c ontrol co lor cube with color cube control system color cube)

gif格式图片生成，包括动画生成，是非常好的入门学习资料。(gif format image generation, including animation generation, is a very good learning materials.)

VC++实现数字水印技术，在BMP位图中添加各种水印信息，程序分LSB和DWT嵌入方法。(VC++ implementation of digital watermarking technology, adding various watermarks in BMP bitmap, the program points LSB and DWT embedding methods.)

人脸检测 ，算法研究，驱动程序，海康卡，海康代码SDK(Face detection, algorithms, drivers,海康卡, Haikang code SDK)

vtk碰撞检测程序，基于obb包围盒的碰撞检测程序，需要用cmake进行编译(vtk collision detection procedure, based on obb bounding box collision detection program needs to be compiled with cmake)

本例功能是显示一个由反走样处理的线段组成的八面体(functions of the cases showed an anti-aliasing by the Line of octahedral)

扫描线Zbuffer算法 1。算出模型的包围盒。 2．每条扫描线打点时并不是包围盒内整条线打点，而是先搜索需要刷新的范围， 只是该范围内打点。 (One scan line Zbuffer algorithm. Calculate the model bounding box. 2. Each scan line runs inside the box when not surrounded by the entire line runs, but first need to refresh the scope of the search, but the scope of RBI.)

三维图像重建,采用多种滤波方法，实现三维图像重建，该算法效率比较高。目前已经应用到实际工程。(3-dim picture recreat,use filter method and project method to realise the recreating of 3 dim picture.it is a very effective method ,applied in the project.so I share it with you . )

脸部特征提取，特征点提取、划分特征点区域，这是在中医面诊课题中用到的代码(Facial feature extraction, feature extraction, feature points divided region)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)