CXMFG

适合初学图形学的人,都是基本的绘图与填充及图形变换,贝页丝曲线的绘制.(graphics suitable for beginners who are basic drawing and filling and graphic transformation, Pui-page wire drawing curves.)

这是DCT的改进算法，可以提高DCT算法的执行速度。(This is the DCT of the improved algorithm can improve the execution speed DCT algorithms.)

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.)

visualC 数字图像模式识别与技术详解，书籍源码部分。(visual C digital image pattern recognition and techniques detailed books source parts.)

s世界计算机视觉三大会议之CVPR会议，中国人发表的经典立体匹配的论文(s World Computer Vision Conference CVPR three meetings, the Chinese classic stereo matching published papers)

凑算式 看这个算式： ☆☆☆ + ☆☆☆ = ☆☆☆ 如果每个五角星代表 1 ~ 9 的不同的数字。 这个算式有多少种可能的正确填写方法？ (Minato formula Look at this formula: ☆☆☆+ ☆☆☆ = ☆☆☆ If each five-pointed star represents a different number 1 to 9. This formula has a number of possible methods correctly filled?)

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)

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)

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)

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.).)