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Neural network training system

  • US 10,592,780 B2
  • Filed: 03/30/2018
  • Issued: 03/17/2020
  • Est. Priority Date: 03/30/2018
  • Status: Active Grant
First Claim
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1. A method for training a neural network implementation of a feature extractor and a correspondence matcher comprising the steps of:

  • set rendering parameters in a 3D model wherein said rendering parameters include at least position and orientation;

    rendering a frame according to said rendering parameters to establish a current image;

    processing ray-tracing information of said frame to solve a ground-truth correspondence map of said current image with a neighbor image;

    incrementing said rendering parameters; and

    providing said ground-truth correspondence map as a first training input to said neural network.

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