Patents by Inventor Thomas P. Andrlacchl

Thomas P. Andrlacchl 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).

  • Automatic generation of human models for motion capture, biomechanics and animation
    Patent number: 8180714
    Abstract: An automated method for the generation of (i) human models comprehensive of shape and joint centers information and/or (ii) subject specific models from multiple video streams is provided. To achieve these objectives, a kinematic model is learnt space from a training data set. The training data set includes kinematic models associated with corresponding morphological models. A shape model is identified as well as one or more poses of the subject. The learnt kinematic model space and the identified shape model are combined to generate a full body model of the subject starting from as few as one-static pose. Further, to generate a full body model of an arbitrary human subject, the learnt kinematic model space and the identified shape model are combined using a parameter set. The invention is applicable for fully automatic markerless motion capture and generation of complete human models.
    Type: Grant
    Filed: May 29, 2008
    Date of Patent: May 15, 2012
    Assignees: The Board of Trustees of the Leland Stanford Junior University, Politecnico di Milano
    Inventors: Stefano Corazza, Lars Mündermann, Thomas P. Andrlacchl, Emillano Gambaretto
  • Automatic generation of human models for motion capture, biomechanics and animation
    Publication number: 20100020073
    Abstract: An automated method for the generation of (i) human models comprehensive of shape and joint centers information and/or (ii) subject specific models from multiple video streams is provided. To achieve these objectives, a kinematic model is learnt space from a training data set. The training data set includes kinematic models associated with corresponding morphological models. A shape model is identified as well as one or more poses of the subject. The learnt kinematic model space and the identified shape model are combined to generate a full body model of the subject starting from as few as one-static pose. Further, to generate a full body model of an arbitrary human subject, the learnt kinematic model space and the identified shape model are combined using a parameter set. The invention is applicable for fully automatic markerless motion capture and generation of complete human models.
    Type: Application
    Filed: May 29, 2008
    Publication date: January 28, 2010
    Inventors: Stefano Corazza, Lars Mundermann, Thomas P. Andrlacchl, Emillano Gambaretto