RANSAC_plane

VC操作AVI文件的例子,老是太短，本来就只有这点说明(VC operation example of AVI files, always too short, had only this description)

能够得到二维、三维voronoi图，修改后可以获得任意数量的voronoi图。(The two or thress-dimensional Voronoi diagram can be obtained, and any number of Voronoi diagrams can be obtained after modification.)

说明：  通过编写IDL语言，实现使用IDL语言进行分区统计功能。(By writing IDL language, the function of partition statistics using IDL language is realized.)

说明：  机器视觉中三维重建的源码 具体包括4个文件，其中.c文件用于产生图像特征点矩阵(In the three-dimensional reconstruction process, resulting in the source image feature dot matrix)

不错的SVM实现算法,采用的是LS-SVM算法,这是C版本,还有一个MATLAB版本(A good SVM implementation algorithm, using the LS-SVM algorithm, this is the C version, there is a MATLAB version)

Kalman滤波在船舶GPS定位导航系统中的应用(Application of Kalman Filter in Ship GPS Positioning and Navigation System)

基于matlab的图像配准原代码，适合各种格式的图像(Matlab-based image registration of the original code, a variety of formats suitable for image)

本代码主要关于摄影测量中的单向空间后方交会(resection of photogrammetry)

官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)