---
publication_id: "OT-2026-000000387"
title: "Systems and Methods for Training a Neural Network for 3D Object Reconstruction"
published_at: "2026-09-15T19:02:49.438542Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000000387"
categories:
  - "sensors-controls-machine-vision/position-and-presence-sensing"
keywords:
  - "g01b11/2513"
  - "g01b11/2518"
---

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

## 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.