OPENTECHNICAL PUBLICATION
OT-2026-000000387

Systems and Methods for Training a Neural Network for 3D Object Reconstruction

Published: 2026-09-15T19:02:49.438542Z
Permanent URL: https://opentechnical.org/p/OT-2026-000000387
Categories: Sensors, Controls & Machine Vision > Position and Presence Sensing

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ABSTRACT

In accordance with some embodiments, systems and methods are provided for
training a neural network using simulated data so that the neural network can
determine correspondence between a projection pattern and an image of the
projection pattern shone onto the surface of an object. The trained neural
network can be used to output a correspondence between respective pixels in an
image of a real object with the projection pattern projected thereon and
coordinates of the projection pattern. The method can further include, using
the correspondence between respective pixels in the image and coordinates of
the projection pattern, reconstructing a shape of the surface of the real
object.

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OpenTechnical publication OT-2026-000000387
Published 2026-09-15T19:02:49.438542Z
https://opentechnical.org/p/OT-2026-000000387