Apple Inc.

Ecole Polytechnique Federale De Lausanne

Thomas Kiser

Sofien Bouaziz

Thibaut Weise

Brian Amberg

Reinhard Knothe

Stefan Brugger

Patrick Snape

Alex Mansfield

Mark Pauly

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

A method and apparatus for producing a reflective or refractive surface that reflects or refracts light shined thereon and reproduces on a screen a desired greyscale intensity image on which the reflective or refractive surface is based and a corresponding apparatus, wherein the method permits a reproduction of a reference grayscale image with adjustable precision.

Method of producing a reflective or refractive surface

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Zurich, Switzerland

Thomas Kiser