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Emerging.Topics.in.Computer.Vision
- 深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and
3DRebuild
- 根據"基於OpenCV的電腦視覺技術實現"此書練習的其中一章節，3D重建
opencv17
- 简单的同时使用OPENGL和OPENCV的例子，能够根据云点图生成3d图像，对学习3d重建和立体视觉很有用。-A simple example using OPENGL and OPENCV can generate 3d image based on the cloud point of Figure 3d image,which is helpful to study 3d reconstruction and stereo vision 。
code_all
- 基于OPencv+opengl的三维重建-3D rebuilding based on OPencv+OPengl
ReConstruction
- 基于OpenCV下编写的一个实现将两幅图像重建为3D模型的代码，希望对大家有帮助！-Based on OpenCV produced under a to realize the two images for 3 D reconstruction of the model code, and we want to help!
3dcloud
- 通过OpenCV与OpenNI获取3D点云集-opencv openni 3d point cloude
3D_Multiplexer_tian
- 自己写的基于opencv的红蓝叠加生成3D视图的程序。需要opencv2.1，VS2005。-generate 3D view。based on opencv. Need opencv2.1, VS2005.
WinCandide2src
- 用opencv在windows平台下实现三维建模的3D模型的源码，瑞典的Candide模型-The source of three-dimensional modeling of the 3D model using opencv in windows platform, Sweden' s Candide model
ObstacleDetection
- 基于双目视觉的障碍物高度检测，用于变电站机器人身上，需使用加拿大pointgray公司的bumblebee2摄像头-pointgray bumblebee2 Binocular Stereovision Obstacle Detection
camera-method
- 针对双目立体视觉系统研制过程中的摄像机标定步骤,分析了计算机视觉函数库OpenCV中的摄像机模型,其 中的非线性畸变考虑到了切向畸变和径向畸变,采用Bouguet角点提取算法,实现了基于OpenCV的摄像机标定.该 算法具有很高的标定精度和计算效率、良好的跨平台移植性,可以满足双目立体视觉系统的需要. -System are directly used in the internal parameters of the camera calibration algorithm, ca
Calibration
- 用opencv编写的三维重建源代码,功能强大，代码简洁，实用性好。-used for process of 3D graphic
gavab.3d.face.reading.andshow.
- gavab人脸数据库是一个开放的3d人脸书库库。网上可以下载到。本文取出一个人脸数据，将其显示出来。方便初学者去读这个数据库。-gravb is an opencv 3 dimension face .this file include an matlab demo for reading and show the face .
StereoVision_bak
- 改进后的OpenCV立体测距源码，可以在OpenGL中显示视差点云-The improved OpenCV 3D stereo distance measurement. Disparity 3D points data can be displayed with OpenGL
opencv
- opencv实现，opencv1.0 3D扫描数据处理。自己开发测试用。-bcb6.0 develop opencv1.0
Image-2D-to-3D
- 图像2D转3D，需要VS2015及opencv支持。可以实现2d图像转3d图像的功能-Image 2D to 3D, requires VS2015 and opencv support. 2d images can be achieved 3d image function
Source code
- 在opencv上实现双目测距主要步骤是： 1.双目校正和标定，获得摄像头的参数矩阵： 进行标定得出俩摄像头的参数矩阵 cvStereoRectify 执行双目校正 initUndistortRectifyMap 分别生成两个图像校正所需的像素映射矩阵 cvremap 分别对两个图像进行校正 2.立体匹配，获得视差图： stereoBM生成视差图 预处理： 图像归一化，减少亮度差别，增强纹理 匹配过程： 滑动sad窗口，沿着水平线进行匹配搜索，由于校正后左右图片平行，左图
M170510(成功)LocalPorosity-3D(含标注)
- 计算三维二值岩心图像的局部孔隙度VC，OPENCV平台(calculate LocalPorosity)
StereoVision-master
- 关于OpenCV执行3D建模的。利用双目深度分析完成。 需要使用Visual Studio 2012以上的开发环境。(On the OpenCV execution of 3D modeling)
OpenCV-OpenGL--Reconstuction3d-master
- 实现双目视觉的视差图、三角剖分、三维重建(Triangulation and 3D reconstruction)
LightStripe_Calibration_Reconstruction
- 采用线结构光技术对摄像机进行标定、光平面标定和三维重建。Include camera intrinsic calibration, light plane calibration and reconstruction in 3D measurement using light stripe technique.(Include camera intrinsic calibration, light plane calibration and reconstruction in 3D measur