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Replicated dot maps for simplified depth computation using machine learning

  • US 10,643,341 B2
  • Filed: 03/22/2018
  • Issued: 05/05/2020
  • Est. Priority Date: 03/22/2018
  • Status: Active Grant
First Claim
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1. A system configured for utilizing a dot pattern to perform depth detection, the system comprising:

  • one or more processors;

    a camera system comprising at least one camera having a corresponding field of view;

    a light illuminator comprising a light source and a dot pattern generator that emits the dot pattern generated by the light source, the light illuminator being configured to project a dot pattern on one or more objects in a region within the field of view, the dot pattern comprising a replicated sub-pattern having a predefined height and width, the replicated sub-pattern comprising a plurality of dots arranged such that the replicated sub-pattern omits any two patches that include an identical arrangement of dots, the any two patches having a height that corresponds with the predefined height of the replicated sub-pattern and including at least one dot of the plurality of dots, the replicated sub-pattern being replicated in at least one of a first direction or a second direction that is perpendicular to the first direction, and such that the dot pattern comprises a plurality of replicated sub-patterns that are adjacently positioned when projected by the light illuminator within the field of view; and

    one or more computer-readable media having stored computer-executable instructions that are operable, when executed by the one or more processors, to cause the computer system to perform the following;

    project the dot pattern with the light illuminator;

    obtain a first image of the dot pattern, which is reflected in the region from the projection of the dot pattern, with the camera system; and

    perform depth detection based on the dot pattern.

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