A genetic algorithm approach to camera calibration in 3D machine vision

The camera calibration problem in 3D machine vision involves the determination of the interior orientation (internal camera geometry) and exterior orientation parameters (position and angular rotation relative to a specified 3D world coordinate system) using known control points. Additional parameters can be used to model the nonlinear effects of lens distortion. If an unknown targeted point is then imaged in two cameras or single camera together with an active structured light source (e.g. a projector), the position of the object point can be determined by intersecting the two calibrated rays.<
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