搜索资源列表
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
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)
Untitled2
- 完成双目标定，利用标定参数校准源图像和目标图像，并计算得到其视差图(The binocular calibration is completed and the calibration parameters are used to calibrate the source image and the target image, and the parallax diagram is calculated.)
119128659StereoSAD实现定位
- 很好的MATLAB程序实现双目立体视觉定位(MATLAB StereoSAD SSDImage = zeros(H, W))
123
- 立体视觉双目标定c++实现版本，效果可以(Stereo vision dual target c++ implementation version, the effect can be very good)
001sifttest
- 双目视觉立体匹配，sift特征匹配，极限约束(Binocular stereo matching, sift feature matching, limit constraints)
Open CV显示、标定、匹配samples
- 基于opencv vs2010实现双目校正匹配 ，官方例子修改(Binocular correction matching based on OpenCV VS2010, official example modification)
stereoMatch
- 通过输入标定参数，可以实现双目相机的立体匹配(The stereo matching of binocular camera can be realized)
000siftDemo
- 双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)
用VS+Opencv从双目立体视差图中重建三维点云
- 用VS+Opencv从双目立体视差图中重建三维点云(Using VS+Opencv to reconstruct 3D point clouds from binocular stereoscopic parallax map.)