opencv/doc/tutorials/calib3d/table_of_content_calib3d.markdown

Camera calibration and 3D reconstruction (calib3d module) {#tutorial_table_of_content_calib3d}
==========================================================

Although we get most of our images in a 2D format they do come from a 3D world. Here you will learn how to find out 3D world information from 2D images.

-   @subpage tutorial_camera_calibration_pattern

    *Languages:* Python

    *Compatibility:* \> OpenCV 2.0

    *Author:* Laurent Berger

    You will learn how to create some calibration pattern.

-   @subpage tutorial_camera_calibration_square_chess

    *Languages:* C++

    *Compatibility:* \> OpenCV 2.0

    *Author:* Victor Eruhimov

    You will use some chessboard images to calibrate your camera.

-   @subpage tutorial_camera_calibration

    *Languages:* C++

    *Compatibility:* \> OpenCV 2.0

    *Author:* Bernát Gábor

    Camera calibration by using either the chessboard, circle or the asymmetrical circle
    pattern. Get the images either from a camera attached, a video file or from an image
    collection.

-   @subpage tutorial_real_time_pose

    *Languages:* C++

    *Compatibility:* \> OpenCV 2.0

    *Author:* Edgar Riba

    Real time pose estimation of a textured object using ORB features, FlannBased matcher, PnP
    approach plus Ransac and Linear Kalman Filter to reject possible bad poses.

-   @subpage tutorial_interactive_calibration

    *Compatibility:* \> OpenCV 3.1

    *Author:* Vladislav Sovrasov

    Camera calibration by using either the chessboard, chAruco, asymmetrical circle or dual asymmetrical circle
    pattern. Calibration process is continuous, so you can see results after each new pattern shot.
    As an output you get average reprojection error, intrinsic camera parameters, distortion coefficients and
     confidence intervals for all of evaluated variables.
Doxygen tutorials: basic structure 2014-11-27 20:39:05 +08:00			`Camera calibration and 3D reconstruction (calib3d module) {#tutorial_table_of_content_calib3d}`
			`==========================================================`

Merge pull request #8253 from adl1995:master * Update linux_install.markdown Grammar improvements, fixed typos. * Update tutorials.markdown Improvements in grammar. * Update table_of_content_calib3d.markdown * Update camera_calibration_square_chess.markdown Improvements in grammar. Added answer. * Update tutorials.markdown * Update erosion_dilatation.markdown * Update table_of_content_imgproc.markdown * Update warp_affine.markdown * Update camera_calibration_square_chess.markdown Removed extra space. * Update gpu_basics_similarity.markdown Grammatical improvements, fixed typos. * Update trackbar.markdown Improvement for better understanding. 2017-03-02 02:44:34 +08:00			`Although we get most of our images in a 2D format they do come from a 3D world. Here you will learn how to find out 3D world information from 2D images.`
Doxygen tutorials: basic structure 2014-11-27 20:39:05 +08:00
Tutorial create pattern grid for calibration using gen_pattern.py 2019-03-11 23:48:10 +08:00			`- @subpage tutorial_camera_calibration_pattern`

Update tutorials tables of content for several modules 2020-05-09 02:22:30 +08:00			`Languages: Python`

Tutorial create pattern grid for calibration using gen_pattern.py 2019-03-11 23:48:10 +08:00			`Compatibility: \> OpenCV 2.0`

			`Author: Laurent Berger`

			`You will learn how to create some calibration pattern.`

Doxygen tutorials: basic structure 2014-11-27 20:39:05 +08:00			`- @subpage tutorial_camera_calibration_square_chess`

Update tutorials tables of content for several modules 2020-05-09 02:22:30 +08:00			`Languages: C++`

Doxygen tutorials: basic structure 2014-11-27 20:39:05 +08:00			`Compatibility: \> OpenCV 2.0`

			`Author: Victor Eruhimov`

			`You will use some chessboard images to calibrate your camera.`

			`- @subpage tutorial_camera_calibration`

Update tutorials tables of content for several modules 2020-05-09 02:22:30 +08:00			`Languages: C++`

Doxygen tutorials: basic structure 2014-11-27 20:39:05 +08:00			`Compatibility: \> OpenCV 2.0`

			`Author: Bernát Gábor`

			`Camera calibration by using either the chessboard, circle or the asymmetrical circle`
			`pattern. Get the images either from a camera attached, a video file or from an image`
			`collection.`

			`- @subpage tutorial_real_time_pose`

Update tutorials tables of content for several modules 2020-05-09 02:22:30 +08:00			`Languages: C++`

Doxygen tutorials: basic structure 2014-11-27 20:39:05 +08:00			`Compatibility: \> OpenCV 2.0`

			`Author: Edgar Riba`

			`Real time pose estimation of a textured object using ORB features, FlannBased matcher, PnP`
			`approach plus Ransac and Linear Kalman Filter to reject possible bad poses.`
Add interactive calibration app 2016-04-08 21:30:56 +08:00
			`- @subpage tutorial_interactive_calibration`

			`Compatibility: \> OpenCV 3.1`

			`Author: Vladislav Sovrasov`

			`Camera calibration by using either the chessboard, chAruco, asymmetrical circle or dual asymmetrical circle`
improve doc. 2017-10-31 00:13:59 +08:00			`pattern. Calibration process is continuous, so you can see results after each new pattern shot.`
Add interactive calibration app 2016-04-08 21:30:56 +08:00			`As an output you get average reprojection error, intrinsic camera parameters, distortion coefficients and`
			`confidence intervals for all of evaluated variables.`