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Sensor-informed covariance modeling reveals that traditional isotropic approaches can misrepresent uncertainty, leading to substantial gains in 3D reconstruction accuracy.
Achieving 12渭m depth accuracy with enhanced spatial coherence, this method revolutionizes fringe projection profilometry by eliminating pixel-wise calibration inconsistencies.
