搜索资源列表
PbM
- 在已知道立体视觉中左右两幅图像对应点的前提下，用pbM求解基本矩阵（F Matrix）-know the three-dimensional visual images around two corresponding points on the premise that pbM used for the basic matrix (F Matrix)
sift-1.1.1_20070330_win
- 三维立体图像方面，用Visual Basic实现图像处理的源程序
orientation
- 立体影像打开、影像灰度存取等基本功能，并拥有实现这些功能的源代码，可以在该源程序的基础上进行开发，实现影像的相对定向或绝对定向-Open the three-dimensional images, image gray-scale access to such basic functions, and possess the source code for these functions, you can proceed on the basis of the source code devel
StereoVision_Stefano-Mattoccia(PPT)
- 介绍立体匹配的基本知识，为学习双目立体匹配打好基础-Introduce basic knowledge of stereo matching, to lay the foundation for learning binocular stereo matching
imsad1
- 一种基本的立体匹配算法SAD，比较适用于初学者使用，是用matlab编写的-A basic stereo matching algorithm SAD, more suitable to use for beginners, is prepared using matlab
python计算机视觉.pdf
- 本书是计算机视觉编程的权威实践指南,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。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on
RANSAC
- RANSAC算法经常用于计算机视觉中。例如，在立体视觉领域中同时解决一对相机的匹配点问题及基本矩阵的计算。(RANSAC algorithms are often used in computer vision. For example, in the field of stereoscopic vision, a matching problem of a pair of cameras and a calculation of a basic matrix are simultaneousl