搜索资源列表
三维重建3.tar
- 用于X光图像得三维重建算法,体绘制算法是三维重建的必经之路,值得参考!(For X light image 3D reconstruction algorithm, it is worth reference.)
shapeconvex
- matlab程序。利用二维图像生成3d形状,有原始代码,有测试数据。(We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a single image.To alleviate the reconstruction ambiguity, a widely-used approach is to confine the unknown 3D shape
3D Reconstruction
- 通过两幅图片重构出场景中物体的三维结构,需要输入相机的标定参数,通过仿射变换找出图像之间的对应关系
VisualSFM
- 基于图像序列的三维场景重建打包源码,图片只支持jpg格式(Image sequence based 3D scene reconstruction package source code, images only support the JPG format)
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
Oleration
- 用MATLAB实现计算机视觉中三维重构所需的基本矩阵的运算(Implementation of basic Matrix Operation for 3D Reconstruction in computer Vision with MATLAB)
视觉SLAM
- 图像处理图像视觉三维重建点的特征与匹配线的特征(Characteristics of image 3D reconstruction points and matching line characteristics in image processing)
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
8078349
- 用MATLAB实现模拟立方体的重构,是计算机视觉中三维重构的重要的应用实验(Simulating cube reconstruction with MATLAB is an important application experiment of 3D reconstruction in computer vision.)
Qt-VTK-viewer-master
- dicom图片读取显示,3D重建,DICOM序列图动态图(vtk 3d reconstruction with C++(QT))
三维重建
- 利用matlab进行三维重建,比较复杂,使用程序可以简单的进行三维重建(Three-dimensional reconstruction using matlab is more complicated, and the program can be used for simple 3D reconstruction.)
CT图像重建代码
- 可以做简单的三维重构,基于matlab程序,可以用于有限元模拟及3D打印(do easy 3-D reconstruction based on matlab)
zhongyao
- 双目立体匹配一直是双目视觉的研究热点,双目相机拍摄同一场景的左、右两幅视点图像,运用立体匹配匹配算法获取视差图,进而获取深度图。而深度图的应用范围非常广泛,由于其能够记录场景中物体距离摄像机的距离,可以用以测量、三维重建、以及虚拟视点的合成等(Binocular stereo matching has always been a research hotspot in binocular vision. Binocular cameras take left and right view ima
codecode
- 双目视觉与三维重建源代码,采用opencv+opengl调试环境(Binocular vision and 3d reconstruction source code, opencv+opengl debugging environment)
yuan基于双目视觉的三维重建(matlab)
- 基于matlab的双目结构光实现三维重建(3D reconstruction of binocular structured light based on MATLAB)
Python机器视觉编程
- 《Python计算机视觉编程》是计算机视觉编程的实践指南,依赖Python语言讲解了基础理论与算法,并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外,书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision pro
点云三维重建
- 用MATLAB实现激光雷达的三维点云的重建。(Reconstruction of 3D point cloud with MATLAB)
点云进行matlab三维重建
- 使用matlab,基于点云进行三维物体重建,里面包括一些图片(3D reconstruction of point cloud)