搜索资源列表
pipeishixian
- 双目立体测量系统中的匹配实现 有用且实用-Binocular three-dimensional measurement system of matching the achievement of useful and practical
StereoMatch
- 用于双目视觉中的立体匹配，独立的C++程序。-For binocular vision in stereo matching, independent of the C++ program.
34434343
- 此程序详细说明了双目视觉下进行匹配，求取视差图像的例子-Detailed descr iption of this process carried out under binocular vision matched to obtain examples of parallax images
bp
- 在双目立体视觉中立体匹配问题存在歧义性，是视觉研究中难点问题之。通过采用分水岭分割图像的方式有效的对图像进行了过分割处理，实现了基于图像块置信传播的匹配算法。-In the binocular stereo vision problem in stereo matching ambiguity, is the difficult problems in vision research. Images by using watershed segmentation method was effec
Progress-in-stereo-matching
- 双目立体匹配算法的研究与进展Progress in binocular stereo matching algorithms-Progress in binocular stereo matching algorithms
SIFT-suanfaxiaojie
- SIFT 算法小结 图像识别 双目匹配 测距 比例不变识别方法 特征点-Summary of image recognition algorithm SIFT distance binocular matching feature points the proportion of invariant recognition
Fundamental-Matrix
- opencv 双目匹配下基线和基础矩阵的详细资料,英文原版.-Epipolar Geometry and the Fundamental Matrix
lankton_stereo
- 采用了meanshift聚类的方法实现立体视觉双目匹配-Meanshift clustering achieved using binocular stereo vision matching
old-3d-reconstruction-code-master
- 三维重建的一些常用算法，包括摄像头标定，双目匹配、计算视差、三维重建等常用的算法-Some commonly used three-dimensional reconstruction algorithms, including camera calibration, matching eyes, the parallax calculation, 3D reconstruction algorithm commonly used
A-Non-Local-Cost-Stereo-Matching
- 双目匹配 3D立体视觉 代价聚合 非局域 -A Non-Local Cost Aggregation Method for Stereo Matching
stereoRegionGrowingLine
- 双目匹配 3D立体视觉 深度计算 非局域 -Aggregation Method for Stereo Matching，depth imaging
StereoVision-master
- 包含双目标定，双目匹配以及三维重建。使用opencv库(It includes binocular calibration, binocular matching and 3D reconstruction. Using the opencv Library)
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)
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
测距
- 输出深度图，立体匹配与测距,输出深度图，，，(Output depth map, stereo matching and ranging, output depth map)
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.)
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)
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)
Harris角点检测与匹配算法
- Harris角点检测，双目标定，立体匹配都可以用(Harris corner point measurement, binocular specification, three - dimensional animal distribution available)