StereoCalib | 实现摄像头的标定,双目摄像头的立体矫正、获取深度图和点云坐标,估计三维重建后的体积

 by   scutan90 C++ Version: Current License: No License

kandi X-RAY | StereoCalib Summary

kandi X-RAY | StereoCalib Summary

StereoCalib is a C++ library. StereoCalib has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.


            kandi-support Support

              StereoCalib has a low active ecosystem.
              It has 22 star(s) with 32 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              StereoCalib has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of StereoCalib is current.

            kandi-Quality Quality

              StereoCalib has 0 bugs and 0 code smells.

            kandi-Security Security

              StereoCalib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              StereoCalib code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              StereoCalib does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              StereoCalib releases are not available. You will need to build from source code and install.

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            StereoCalib Key Features

            No Key Features are available at this moment for StereoCalib.

            StereoCalib Examples and Code Snippets

            No Code Snippets are available at this moment for StereoCalib.

            Community Discussions


            Why Stereo rectify an image
            Asked 2019-Oct-29 at 15:48

            I'm trying to reconstruct position of chessboard from its stereo correspondences taken from calibrated stereo camera images. According to this answer, I went through whole process as

            1. Calibrate stereo camera
            2. Calculate projection matrices
            3. Triangulate undistorted points

            I don't understand one step, that is WHY should I rectify stereo images during stereoCalibration using openCV's cv2::stereoRectify() or Matlab's rectifyStereoImages. Or maybe better: HOW should I get projection matrices - by stereo rectification or simply as



            Answered 2019-Oct-29 at 15:48

            If you already know which points correspond to each other on two images you are right, stereo rectification is not needed. You can just triangulate the points to get the 3D coordinate.

            But if you are trying to estimate a depth map from a whole image you will need to solve the stereo correspondence problem, i.e. you will need to find for each point in one image the corresponding point in the second image.

            By stereo rectifying you ensure that epipolar lines are horizontal and corresponding points only can be on the same horizontal pixel row in both images. This means your search space for correspondences is radically smaller and thus the problem becomes tractable.

            Let me know if this answers your question or if you need a few more pointers into the right direction!



            stereo camera calibration error
            Asked 2018-May-07 at 11:32

            I am trying to perform a stereo calibration of 2 USB cameras in order to perform depth map, but I fall on this error and I don't know how to solve. I would be really grateful to who would be able to help.



            Answered 2018-May-04 at 11:08

            So the error says:

            error: OpenCV(3.4.1) D:\Build\OpenCV\opencv-3.4.1\modules\calib3d\src\calibration.cpp:3384: error: (-215) nimages > 0 in function cv::calibrateCamera

            This means that you are passing empty list variables as the object points or as the image points.

            In your code you have:



            Python OpenCV Stereo Calibrate Object Points
            Asked 2017-Sep-05 at 10:10

            I am really having a hard time to grasp this thing, I'm only a beginner in python, and I cannot find an explanation to this code.



            Answered 2017-Jan-18 at 08:30

            I will assume you are working with this code or a similar one.

            First question

            how does objpoints.append(objp) on every iteration make a difference? It doesn't. From the line you posted, look at this


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install StereoCalib

            You can download it from GitHub.


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