Microsoft Technology Licensing, LLC

Hendrik Mark Langerak

Szymon Piotr Stachniak

Michelle Brook

Daniel Joseph McCulloch

William Douglas Guyman

Adam Benjamin Smith-Kipnis

Marc Pollefeys

Jonathan Plumb

Jeff Cole

Abby Lin Lee

Michael Gordon Hale

Ali Osman Ulusoy

Silvano Galliani

Alexandre David

Daniel Mcculloch

Jonathan William Plumb

The described implementations relate to images and depth information and generating useful information from the images and depth information. One example can identify planes in a semantically-labeled 3D voxel representation of a scene. The example can infer missing information by extending planes associated with structural elements of the scene. The example can also generate a watertight manifold representation of the scene at least in part from the inferred missing information.

Deriving information from images

A computer system is provided that includes a camera device and a processor configured to receive scene data captured by the camera device for a three-dimensional environment that includes one or more physical objects, generate a geometric representation of the scene data, process the scene data using an artificial intelligence machine learning model that outputs object boundary data and object labels, augment the geometric representation with the object boundary data and the object labels, and identify the one or more physical objects based on the augmented geometric representation of the three-dimensional environment. For each identified physical object, the processor is configured to generate an associated virtual object that is fit to one or more geometric characteristics of that identified physical object. The processor is further configured to track each identified physical object and associated virtual object across successive updates to the scene data.

Object permanence in surface reconstruction

An augmented reality device includes a logic machine and a storage machine holding instructions executable by the logic machine to, for one or more real-world surfaces represented in a three-dimensional representation of a real-world environment of the augmented reality device, fit a virtual two-dimensional plane to the real-world surface. A request to place a virtual three-dimensional object on the real-world surface is received. For each of a plurality of candidate placement locations on the virtual two-dimensional plane, the candidate placement location is evaluated as a valid placement location or an invalid placement location for the virtual three-dimensional object. An invalidation mask is generated that defines the valid and invalid placement locations on the virtual two-dimensional plane.

Virtual object placement for augmented reality

Embodiments that relate to converting audio inputs from an environment into text are disclosed. For example, in one disclosed embodiment a speech conversion program receives audio inputs from a microphone array of a head-mounted display device. Image data is captured from the environment, and one or more possible faces are detected from image data. Eye-tracking data is used to determine a target face on which a user is focused. A beamforming technique is applied to at least a portion of the audio inputs to identify target audio inputs that are associated with the target face. The target audio inputs are converted into text that is displayed via a transparent display of the head-mounted display device.

Speech to text conversion

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Bellevue, WA, United States of America

Hendrik Mark Langerak