Patents by Inventor Doug W. COUWENHOVEN

Doug W. COUWENHOVEN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Hierarchical neural network image registration
    Patent number: 10977765
    Abstract: One or more neural networks generate a first vector field from an input image and a reference image. The first vector field is applied to the input image to generate a first warped image. The training of the neural networks is evaluated via one or more objective functions. The neural networks are updated in response to the evaluating. The neural networks generate a second vector field from the input image and the reference image. A number of degrees of freedom in the first vector field is less than a number of degrees of freedom in the second vector field. The second vector field is applied to the input image to generate a second warped image. The neural networks are evaluated via the one or more objective functions, the reference image and the second warped image. The networks are updated in response to the evaluating.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: April 13, 2021
    Assignee: Eagle Technology, LLC
    Inventors: Derek J. Walvoord, Doug W. Couwenhoven
  • Hierarchical Neural Network Image Registration
    Publication number: 20200327639
    Abstract: One or more neural networks generate a first vector field from an input image and a reference image. The first vector field is applied to the input image to generate a first warped image. The training of the neural networks is evaluated via one or more objective functions. The neural networks are updated in response to the evaluating. The neural networks generate a second vector field from the input image and the reference image. A number of degrees of freedom in the first vector field is less than a number of degrees of freedom in the second vector field. The second vector field is applied to the input image to generate a second warped image. The neural networks are evaluated via the one or more objective functions, the reference image and the second warped image. The networks are updated in response to the evaluating.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 15, 2020
    Inventors: Derek J. WALVOORD, Doug W. COUWENHOVEN