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Room layout estimation methods and techniques

  • US 10,657,376 B2
  • Filed: 03/16/2018
  • Issued: 05/19/2020
  • Est. Priority Date: 03/17/2017
  • Status: Active Grant
First Claim
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1. A system comprising:

  • non-transitory memory configured to store;

    a room image for room layout estimation; and

    a neural network for estimating a layout of a room, the neural network comprising;

    an encoder-decoder sub-network configured to receive the digital room image as an input, wherein the encoder-decoder sub-network comprises an encoder and a decoder; and

    a classifier sub-network in communication with the encoder-decoder sub-network configured to classify a room type associated with the room image;

    a hardware processor in communication with the non-transitory memory, the hardware processor programmed to;

    access the room image;

    determine, using the encoder, decoder, and the room image, a plurality of predicted two-dimensional (2D) keypoint maps corresponding to a plurality of room types;

    determine, using the encoder, the classifier sub-network and the room image, a predicted room type from the plurality of room types;

    determine, using the plurality of predicted 2D keypoint maps and the predicted room type, a plurality of ordered keypoints associated with the predicted room type; and

    determine, using the plurality of ordered keypoints, a predicted layout of the room in the room image.

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