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camera_calibration_and_stereo_vision

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camera_calibration_and_stereo_vision [2024/04/24 12:10] wilfredcamera_calibration_and_stereo_vision [2024/04/24 21:31] (current) wilfred
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   * Camera calibration relies on acquiring images of a checkerboard using two cameras (see image below)   * Camera calibration relies on acquiring images of a checkerboard using two cameras (see image below)
   * This {{ :checkerboard.pptx |file}} can be used to generate checkerboards for calibration   * This {{ :checkerboard.pptx |file}} can be used to generate checkerboards for calibration
 +  * In the camera calibration function, you must set three parameters: rows, columns and world_scaling
 +      * Rows and columns refer the number of "crosses" in each axis of the checkerboard
 +      * In the image below: <code>rows = 5</code><code>columns = 7</code>
 +      * Note that OpenCV will throw an error if the number of rows and columns is incorrect
 +      * world_scaling is the physical dimension of a square on the checkerboard, it is up to you to choose the unit
   * Checkerboard images are used to obtain the intrinsic matrices and distortion coefficients of each camera individually   * Checkerboard images are used to obtain the intrinsic matrices and distortion coefficients of each camera individually
   * The camera calibration process also outputs a value related to the quality of the calibration (RMSE) which should be less than 0.30   * The camera calibration process also outputs a value related to the quality of the calibration (RMSE) which should be less than 0.30
-  * Note that both camera frames must have the same dimensions for stereo calibration+  * Note that both camera frames must have the __same__ dimensions for stereo calibration
  
 {{ :checkerboard.jpg?200 |}} {{ :checkerboard.jpg?200 |}}
 +
 +  * It is often important to define a world frame
  
  
camera_calibration_and_stereo_vision.1713975014.txt.gz · Last modified: 2024/04/24 12:10 by wilfred

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