Inventor(s)

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Abstract

Reconstructing a three-dimensional (3D) image of an object of interest requires high pixel accuracy between the optical plane and sensor images. While optical centers can be corrected for in the XY plane and along the roll axis with image cropping and rotation techniques, corrections based only on image processing are difficult in the yaw and pitch orientations. This disclosure describes techniques that leverage reference features in captured images calibrated with previously captured (yaw, pitch) data to correct, via trained machine learning models, the yaw and pitch of cameras. The camera orientations can be controlled by piezoelectric actuators.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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