Automatic-Building-Extraction.pdf

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)

读取jpeg图片数据并输出到txt文本中，再从txt文本中读取数据生成图片(Reading image data and outputs to txt, and then read the data generated image txt text)

Space structure with static analysis % elastic beam element space structure with static analysis, elastic beam element

基于mfc的车辆检测程序，利用帧间的变化来检测，适合初学图像的同学学习(Mfc-based vehicle detection program to detect changes in the use of frames, suitable for beginners to learn the image of the students)

OpenGL高级编程与可视化系统开发（高级编程篇）的随书源码-4，学习OpenGL的好东西-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL (OpenGL high-level programming and visualization systems development (high-level programming chapter)-4 of the source with the book, learning OpenGL good things-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL)

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

说明：  视频图像处理相关，用傅立叶相关算法，给图像分割，达到预期效果。(Video image processing associated with Fourier correlation algorithm to image segmentation, to achieve the desired effect.)

交通标志检测,pic文件夹下为实验用的交通标志图,这是我们小组的研究性学习课题.(Traffic sign detection, pic folder for the experimental use of traffic signs, which is our group of research learning topics.)

openCV中文版 附目录 本书主要介绍: 1.透彻介绍OpenCV 2.从摄像机获取输入 3.图像的变换 4.图像的分割和形状的匹配 5.模式识别，包括人脸检测 6.二维和三维场景中的跟踪监测 7.根据立体视觉进行三维重构 8.机器学习算法(the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm)

空间点云的三角化，已通过调试，大家共同学习(Point cloud of the triangular space, and have passed testing, we learn together)