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Active view planning by deep learning

  • US 10,083,369 B2
  • Filed: 07/01/2016
  • Issued: 09/25/2018
  • Est. Priority Date: 07/01/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • receiving, by a computing device, a first image;

    performing, by the computing device, recognition on the first image using a deep neural network;

    determining, by the computing device, a probability of recognition for an object based on performing the recognition on the first image, the probability of recognition for the object identifying an extent of certainty about the image including the object and being captured at a first viewpoint;

    determining, by the computing device, whether the probability of recognition for the object satisfies a predetermined threshold;

    responsive to determining that the probability of recognition for the object does not satisfy the predetermined threshold, determining, by the computing device, a first expected gain in the probability of recognition when a first action is taken and a second expected gain in the probability of recognition when a second action is taken, the first action and the second action belonging to a set of actions describing receiving a second image for increasing the probability of recognition; and

    identifying a next action from the first action and the second action based on an increase in expected gains.

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