搜索资源列表
Estereo
- EStereo is a computer vision C++ library for real-time disparity estimation. The library contains various functions for dense stereo matching from 2 or 3 rectified images and 3D scene reconstruction.-EStereo is a computer vision library for C r Lever
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 。
StereoVisionVS2008-DXMar2008
- 3D Reconstruction using Stereo Vision
p3d.tar
- A simple application of 3D stereo vision to robotic navigation.
StereoVision
- Stereo Vision is an area of study in the field of Machine Vision that attempts to recreate the human vision system by using two or more 2D views of the same scene to derive 3D depth information about the scene. Depth information can be used to trac
Mesh
- 摘要：针对传统的DP算法存在条纹瑕疵，提出了一种改进的垂直性约束动态规划立体匹配算法，通过利用扫描线间的相关信息来约束动态规划过程，使得处理每一条扫描线时都能充分利用以前扫描线的匹配信息。实验结果表明，该算法可以明显地消除传统DP算法的视差图的条纹瑕疵，匹配精度高, 而且执行时间短。-ABSTRACT Although network speed has been increased over the years,bandwidth limitation continues to pos
stereo-vision
- stereo vision,对立体视觉上立体标定，矫正，匹配，三维重建进行了总结和分析，相信对大家会有很大帮助-give us detailed information about stereo calibration,rectifcation, stereo matching and 3D modeling
EStereo
- EStereo is a computer vision C++ library for real-time disparity estimation. It computes dense stereo matching from 2 or 3 images as well as 3D scene reconstruction. The library also comes with a GUI-based application (StereoPlus). -ESTEREO real-t
3D-visual
- 关于双目立体视觉的嵌入式开发，两个摄像头，基于DSP的嵌入式开发，希望能够对大家有帮助-binocular stereo vision
stereo-disparity
- matlab实现图像匹配的视差图，可以用于3D重建系统，机器视觉等领域。-Matlab image matching parallax figure, and can be used in 3 D reconstruction system, machine vision, etc
ee
- 基于双目立体视觉的三维重建，关于三维重构技术的论文-Based on the three-dimensional reconstruction of the binocular stereo vision, 3D reconstruction of papers
117143191sift-1.1.1_20070330_win
- 在计算机视觉的领域中，图像匹配是很多问题最重要的一个方面，包括物体和场景识别，通过多幅图像进行3D重构，立体匹配和运动跟踪。SIFT特征对于图像的旋转和尺度变化具有不变性，对于光照改变和摄像机角度变化具有部分的不变性-In the field of computer vision, image matching is one of the most important aspects of the many problems, including the identification of ob
dual-cameras-based-on-matching
- 能够实现在计算机平台上运行左右两个图像传感器的同步采集，用于机器人立体视觉以及3D片源的获取-Can be achieved in a computer running on a platform about two image sensors synchronous acquisition for robot stereo vision and 3D sources of access
stereo-vision-in-the-matlab
- 在matlab环境下面编程，最好使用2012版本及其以上，完成利用matlab软件提供的图像处理函数来完成图像匹配，3D重建的工作。最后的效果图很好，由于是利用matlab自带的图片，所以压缩文件中无图片，直接打开m文件就可以运行！-Below programming in matlab environment, it is best to use 2012 version and above, using matlab software provides complete image proc
opencvtest
- 由双目立体视觉系统匹配到的点来计算物体的真实坐标，对三维物体进行三维重建。-The real coordinate by binocular stereo vision system matching to the point to calculate the object, 3D reconstruction of 3D objects.
STEREO-VISION
- 一篇重要的论文，是关于双目立体视觉的，用来做机器人三维重建-An important paper, is about the binocular stereo vision, 3D reconstruction of the robot used to do
Reconstuction3d
- OpenCV+OpenGL 双目立体视觉三维重建代码以及文档使用opencv进行立体匹配获取视差图，三角剖分使用opengl进行纹理贴图-OpenCV+OpenGL binocular stereo vision 3D reconstruction code and documents using OpenCV stereo matching to obtain disparity map, triangulation using opengl for texture mapping
fire
- 3d 立体显示例子 用于nvdia 3d vision 显示(Particle system and billboard technique stereoscopic application. Based on sample from GLUT distribution again.)
双目立体标定与测量
- 双目立体视觉相关的代码，内含标定重建过程(Stereo Vision for 3D reconstruction. The coding includes camera calibrate etc.)
Python计算机视觉编程
- 本书介绍Python的计算机视觉编程，用清晰的Python示例，细致讲解对象识别、3D重建、立体图像、增强现实及其他计算机视觉应用技巧，给出了分析图像的工具与方法。内容：机器人导航、医学图像分析；图像映射与变换；多图像的3D重建；用聚类方法基于相似性和内容组织图像；基于视觉内容的图像检索技巧；实现图像内容分类和对象识别的算法；通过Python接口访问常用的OpenCV库。(This book introduces Python's computer vision programming. Wit