Difference between revisions of "Calibration Definition AI"

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Calibration is a process of computing accurate camera positions and orientations from a video. This step is essential and required for multi-camera system setup.  
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Novel AI-based pose estimation algorithms allow to use AI-detected joint positions instead of glowing object (flashlight), that makes the calibration workflow simpler.
  
Calibration can be done by user waving a small glowing object called ''marker'' (for color/color+depth cameras). Novel AI-based pose estimation algorithms allow to use AI-detected joint positions instead of glowing object (flashlight), that makes the process simpler.
 
 
{{Note|This feature requires Nvidia RTX video card. Please refer to detailed [[AI-based_Tracking#Introduction|System Requirements]]}}
 
{{Note|This feature requires Nvidia RTX video card. Please refer to detailed [[AI-based_Tracking#Introduction|System Requirements]]}}
  

Latest revision as of 04:15, 1 November 2024

Novel AI-based pose estimation algorithms allow to use AI-detected joint positions instead of glowing object (flashlight), that makes the calibration workflow simpler.

Note.png
Note: This feature requires Nvidia RTX video card. Please refer to detailed System Requirements
Important.png
Important! Once you calibrated the camera system, you should not move your cameras for subsequent video shoots. If you move at least one camera, you need to perform calibration again.
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Tip: We recommend to run calibration twice - before and after capture session. If any camera was moved during capture session, calibration made after the session can give you correct camera positions.