Patents by Inventor Christian Tonn

Christian Tonn 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).

  • Global optimization of networks of locally fitted objects
    Patent number: 10628533
    Abstract: Aspects of the invention include global optimization of networks of locally fitted objects. An electronic representation of a network of intelligent objects is received. The network includes a plurality of intelligent objects and a plurality of gaps greater than a threshold between at least three of the intelligent objects. An aligned model of the network is created where all gaps in the aligned model of the network are less than the threshold. The creating includes optimizing a first plurality of the intelligent objects towards an axis of a second plurality of intelligent objects, and aligning the second plurality of intelligent objects towards the first plurality of intelligent objects. The optimizing and aligning are iteratively performed until a stopping condition is met. The aligned model of the network is output.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: April 21, 2020
    Assignee: FARO TECHNOLOGIES, INC.
    Inventors: Christian Tonn, Daniel Klawitter, Oliver Bringmann
  • GLOBAL OPTIMIZATION OF NETWORKS OF LOCALLY FITTED OBJECTS
    Publication number: 20170371982
    Abstract: Aspects of the invention include global optimization of networks of locally fitted objects. An electronic representation of a network of intelligent objects is received. The network includes a plurality of intelligent objects and a plurality of gaps greater than a threshold between at least three of the intelligent objects. An aligned model of the network is created where all gaps in the aligned model of the network are less than the threshold. The creating includes optimizing a first plurality of the intelligent objects towards an axis of a second plurality of intelligent objects, and aligning the second plurality of intelligent objects towards the first plurality of intelligent objects. The optimizing and aligning are iteratively performed until a stopping condition is met. The aligned model of the network is output.
    Type: Application
    Filed: June 19, 2017
    Publication date: December 28, 2017
    Inventors: Christian Tonn, Daniel Klawitter, Oliver Bringmann