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图形学中的透视投影算法 在屏幕中心绘制立方体的透视投影 可以绘制一点透视图 二点透视图 三点透视图(Graphics in the perspective projection algorithm for drawing a cube in the center of the screen you can draw a little perspective projection perspective two point perspective three-point perspective)

单像素相机是基于压缩传感理论实现的，是数码相机发展的另一个革命性的方向，包括了所有单像素前沿的文献(Single-pixel camera is based on compressed sensing theory to achieve, is another revolutionary development direction of digital cameras, including the literature of all single-pixel frontier)

实现摄影测量中空间后方交会的问题，用以求得像片的内外方位元素(To achieve space resection in photogrammetry issues photograph to obtain the internal and external orientation elements)

用VB写的画出波纹的程序(Written by VB painted corrugated procedures)

O(n*logn)时间内的求逆序的算法控制台程序，算法实现效率较高。可迅速求出随即生成的数字的逆序数(O (n* logn) time algorithm for reverse console process, algorithm more efficient. Can be generated quickly obtained immediately reverse digit number)

convert bmp to rgb565(algorithm to handle all kinds of bmp to rgb565)

猜首府 反复提示用户输入一个州的首府，并检测是否正确(Guess the capital repeatedly prompts the user for the capital of a state, and to detect the correct)

三维模型的网格简化算法，通过删除边来减少面片个数，同时保留图形特征(Three-dimensional model of the mesh simplification algorithm to reduce the number of patches by removing the side, while retaining graphic features)

Canny算子的分步骤实现，基于C语言，一共6部分，学习图像处理参考(Canny operator steps to achieve, based on the C language, a total of 6 parts, the study of image processing reference)

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.).)