Apple Inc.

Stefan Auer

Behrooz Mahasseni

Pedro Manuel Da Silva Quelhas

Gutemberg B Guerra Filho

Sebastian Bernhard Knorr

Saumil B Patel

Andreas N Bigontina

Various implementations disclosed herein include devices, systems, and methods for generating body pose information for a person in a physical environment. In various implementations, a device includes an environmental sensor, a non-transitory memory and one or more processors coupled with the environmental sensor and the non-transitory memory. In some implementations, a method includes obtaining, via the environmental sensor, spatial data corresponding to a physical environment. The physical environment includes a person and a fixed spatial point. The method includes identifying a portion of the spatial data that corresponds to a body portion of the person. In some implementations, the method includes determining a position of the body portion relative to the fixed spatial point based on the portion of the spatial data. In some implementations, the method includes generating pose information for the person based on the position of body portion in relation to the fixed spatial point.

Generating pose information for a person in a physical environment

A method includes obtaining a set of images that correspond to a person. The method includes generating a body pose model of the person defined by a branched plurality of neural network systems. Each neural network system models a respective portion of the person between a first body-joint and a second body-joint as dependent on an adjacent portion of the person sharing the first body-joint. Providing the set of images of the respective portion to a first one and a second one of the neural network systems. The first one and second one correspond to adjacent body portions. The method includes determining, jointly by at least the first one and second one of the plurality of neural network systems pose information for the first respective body-joint and the second respective body-joint.

Generating body pose information

In one implementation, a method includes obtaining, for a particular pixel of an image, a real pixel value and a virtual pixel value. The method includes obtaining, for the particular pixel of the image, a first alpha and a second alpha. The method includes generating, for the particular pixel of the image, a combined pixel value as a weighted average of the real pixel value and the virtual pixel value, the weighting being based on at least one of the first alpha and the second alpha.

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Munich, Germany

Stefan Auer