×

3D system including a neural network

  • US 10,277,877 B2
  • Filed: 10/14/2016
  • Issued: 04/30/2019
  • Est. Priority Date: 11/13/2015
  • Status: Active Grant
First Claim
Patent Images

1. A method for conversion of a series of two dimensional images using a processor into a series of three dimensional images comprising:

  • (a) said processor receiving said series of two dimensional images where each of said series of two dimensional images are from a same viewpoint, where said series of two dimensional images do not include any images from a viewpoint other than said same viewpoint;

    (b) said processor processing said series of two dimensional images all of which are from said same viewpoint and do not include any images from a viewpoint other than said same viewpoint based upon a neural network to determine a respective depth map associated with each of said series of two dimensional images where all of said series of two dimensional images are from said same viewpoint, where said series of two dimensional images do not include any images from a viewpoint other than said same viewpoint;

    (c) said processor processing said depth map to render said two dimensional images as said series of three dimensional images for being displayed on a 3D display;

    (d) rendering said two dimensional images all of which are from the same viewpoint and do not include any images from a viewpoint other than said same viewpoint based upon said depth map on a display;

    (e) wherein said neural network includes a plurality of interconnected digital neurons which mimic a logical operation of biological brain neurons with synapse connections with other brain cells for a purpose of video analysis and decision making;

    (f) wherein said neural network includes updating said interconnected neuron synapse using at least one of genetic, back-propagation, and adaptive learning techniques;

    (g) wherein said neural network includes a set of adaptive weights, thresholds, and activation functions;

    (h) wherein said neural network receives image color space components of said series of two dimensional images; and

    (i) wherein said image color space components are in a substantially intensity independent color space.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×