Skip to main content Skip to secondary navigation

Docket #: S06-193

A New, Integrated Method of Human or Animal Body Modeling with Applications for Animation and Tracking

Stanford researchers have patented a data-driven method for building a human shape model that spans variation in both subject shape and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations.
Capabilities include partial-view completion and lifelike animation of marker motion-capture sequences. Specifically, this method is capable of constructing a high-quality animated surface model of a moving person, with realistic muscle deformation, using just a single static scan and a marker motion capture sequence of the person.

Related Markerless Motion Capture Technologies also available for license:
S05-433– US Patent 7,804,998
S07-254– US Patent 8,180,714
S08-122– US Patent 8,384,714

Figure


Figure description - Animation of a motion capture sequence taken for a subject, of whom we have a single body scan. The muscle deformations are synthesized automatically from the space of pose and body shape deformations.

Applications

  • Animation and computer graphics
  • Digital movies
  • Interactive Gaming and video games industry
  • Biomechanical and clinical applications
  • Biofeedback and rehabilitation
  • Design and engineering
  • Ergonomics
  • Digital simulation of human and animal interaction
  • Education
  • Art. Visual arts and any art using biological signals as an input or output.
  • Robotics. Development of biomimetic robots
  • Surveillance

Advantages

  • Captures body deformations due to change in pose and body shape variation between different individuals
  • Maintains proper deformation scaling
  • Efficient shape-completion of different subjects in different poses
  • Enables marker-less motion capture of different people and animals from any kind of 3D readings, including stereo cameras, or multiple camera feeds combined, using shape-from-silhouette techniques, or the input from any 3D range sensors
  • Accurate - The shape-completion capability provides accurate subject-specific automatic segmentation
  • Low cost - The integrated method saves production time and cost

Publications

Patents

Similar Technologies

Explore similar technologies by keyword: