搜索资源列表
GetObjectByDisAndGray
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-Three-dimensional reconstruction of the research is an important subject of computer vision field, while binocular vision is three-dimensional reconstruction of a
calculate_F
- 计算用于双目视觉的基本矩阵，以此进行三维重构和坐标点测量-calculate F
shuangmu
- 基于双目立体视觉的人脸三维重建方法的研究 好的资料-Binocular stereo vision based on the human face of three-dimensional reconstruction
MeasureTest
- 双目视觉算法原理介绍和代码，测量空间中的工件尺寸，-Binocular vision algorithms and code described principle, measurements of space in the workpiece size,
homework
- 双目视觉三维重建程序，输入左右相机匹配点对矩阵，自动计算投影矩阵，并输出射影空间下的三维点坐标-Binocular vision three-dimensional reconstruction program, enter the matching points on the matrix around the camera to automatically calculate the projection matrix, and output under the three-dimensio
robot
- 机器人双目视觉系统的算法研究与实现.pdf-Binocular robot vision system and implementation of algorithms. Pdf
Exp-02
- 双目机器视觉在行车中的测距及定位应用 -Binocular vision in the road in the distance and location-based applications
depth-computer
- 对双目立体视觉摄像头中的两幅图像中的同一目标进行深度恢复计算，获取目标的实际空间中的深度距离-Of binocular stereo vision camera in the two images of the same target depth recovery calculation, the actual space for the target depth distance
machine-vision
- 机器视觉方面的ppt讲义，对需要了解双目视觉知识的朋友来说非常好的一个文档。-Machine vision ppt lecture notes on the need to understand the knowledge of binocular vision is very good friends in a document.
Stereo1
- 双目立体视觉，基于matlab，适合新手看看，比较简单-Stereoscopic vision, based on matlab, suitable for novice to see
视差图得到具体深度的matlab程序
- 双目匹配得到的视差图，通过此程序可以算出具体某点的深度信息。
双目标定以及双目测距程序
- vs2008+opencv2.1，基于opencv的双目标定及双目测距的程序(Vs2008+opencv2.1, opencv based double target calibration and binocular Ranging procedures)
HNY_CV_005
- 双目视觉，双目图像测距，双目图像校正，对其，匹配(Binocular vision, binocular image ranging, binocular image correction, matching)
HNY_CV_001
- 实现采集双目视频，用2个窗口费别显示2个摄像头的视频(To achieve the acquisition of binocular video with 2 stations, window display 2 video camera)
BM
- 双目测距bm算法，已经实现,基于vs2015+opencv3.2,测距精度很高，一米内精度一厘米误差(Binocular ranging bm algorithm, which has been implemented, is based on vs2015 + opencv3.2, which has high accuracy and one centimeter error in one meter)
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
计算机视觉
- 计算机视觉和双目识别的资料，主要是环境是opencv(Computer vision and binocular recognition of information, mainly the environment is opencv)
BINO
- 双目立体匹配算法 基于最小生成树的双目匹配(Binocular matching based on MST)
FileRecv
- 对于传统双目定位系统，进行仿真设计，并计算相关系统定位精度(For the traditional binocular positioning system, the simulation design is carried out, and the positioning accuracy of the related system is calculated)
binCalibration
- 完成双目标定，对官方代码进行修改，VS2015能够运行(bincalibration stereo vision)