Apple Inc.

University of Basel

Ntt Docomo, Inc.

Reinhard Knothe

Sofien Bouaziz

Thibaut Weise

Brian Amberg

Stefan Brugger

Thomas Kiser

Patrick Snape

Alex Mansfield

Thomas Vetter

Michael Fahrmair

Rami Ajaj

A three-dimensional model (e.g., motion capture model) of a user is generated from captured images or captured video of the user. A machine learning network may track poses and expressions of the user to generate and refine the three-dimensional model. Refinement of the three-dimensional model may provide more accurate tracking of the user's face. Refining of the three-dimensional model may include refining the determinations of poses and expressions at defined locations (e.g., eye corners and/or nose) in the three-dimensional model. The refining may occur in an iterative process. Tracking of the three-dimensional model over time (e.g., during video capture) may be used to generate an animated three-dimensional model (e.g., an animated puppet) of the user that simulates the user's poses and expressions.

Generating animated three-dimensional models from captured images

Methods and/or systems for modeling 3-dimensional objects (for example, human faces). In certain example embodiments, methods and/or systems usable for computer animation or static manipulation or modification of modeled images (e.g., faces), image processing, or for facial (or other object) recognition methods and/or systems.

Modeling methods and systems

Growing community of inventors

Basel, Switzerland

Reinhard Knothe