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Depth from time-of-flight using machine learning

  • US 9,760,837 B1
  • Filed: 03/13/2016
  • Issued: 09/12/2017
  • Est. Priority Date: 03/13/2016
  • Status: Active Grant
First Claim
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1. A depth detection apparatus comprising:

  • a memory storing raw time-of-flight sensor data received from a time-of-flight sensor; and

    a processor comprising a trained machine learning component having been trained using training data pairs, a training data pair comprising at least one simulated raw time-of-flight sensor frame and a corresponding simulated ground truth depth map;

    the trained machine learning component configured to compute in a single stage, for an item of the stored raw time-of-flight sensor data, a depth map of a surface depicted by the item, by pushing the item through the trained machine learning component.

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