资源列表
HW1
- 使用openmesh实现显示mesh，平滑等功能.- Use openmesh achieve the display mesh, smoothing functions.
ExpressionTreeBEV
- expression tree builder and uator-expression tree builder and uator
fatorial
- factorial MIPS assembly development
ARR
- 采用链表实现的数组功能，避免了数组大小的固定，可以随意的添加删除元素-The use of arrays to achieve the function of the array, to avoid the array of fixed size, you can add and delete elements
Delete_ADD
- 在创建链表的过程中删除和添加节点的功能的实现，算法稳定可靠-In the process of creating the list to delete and add the function of the node, the algorithm is stable and reliable
stack
- 循环队列的实现，一般链表和队列的实现，数据结构中基本功能的实现-Implementation of circular queue, the realization of the general list and queue, the realization of the basic functions of data structure
DLT
- 摄影测量中的DLT算法，直接由像点坐标和对应的物方坐标，解出内方位元素初值。运行程序可行。-Photogrammetry DFT algorithms directly the object side image coordinates and the coordinates corresponding to the solution of the initial value of the interior orientation. Run the program feasible.
liblbfgs-1.10
- 一个非常强大鲁棒的求解非约束线性优化最小值的完整源代码工具。解压文件之后, 利用Visual Studio 打开，运行sample.c 或sample.cpp.-A very powerful robust linear optimization solving non-binding minimum complete source code tools. After extracting files, use Visual Studio to open and run sample.c or
transe
- 本程序可以自动将标定的框标坐标系到像平面坐标系的转换，实习坐标系转换的自动化。-The program can automatically block the calibration standard coordinate system to the image plane coordinate conversion, coordinate transformation practice automation
houfangjiahui
- 改进版的后方交会程序，不仅仅实现外方位元素的提取，更有相机内方位元素的畸变差改进。-Improved version of the resection procedure, not only to achieve the extraction outer orientation elements, Distortion and more camera orientation elements improvements.
eigen-eigen-07105f7124f9
- 十分有用的c++函数库，通过调用此库，可以很方便的实现高等线性代数中复杂公式，实现二维数组的简便操作-Easy to operate very useful c++ library, by calling this library, you can easily achieve higher linear algebra complex formula to achieve two-dimensional array
PCA_CPP
- 里面有两个简单的主成分分析源代码，对于初学或想了解主成分分析算法的思想非常有帮助，简单易用。本人也是学习的其他同学的代码，不用于商业，仅供交流学习。-There are two simple principal component analysis of the source code for the beginner or want to know the thinking of principal component analysis algorithm is very helpful an