Microsoft Technology Licensing, LLC

Mike Scavezze

Stephen G Latta

Aaron Daniel Krauss

Jonathan Steed

Daniel Joseph McCulloch

Brian James Mount

Kevin Geisner

Jason Bradley Scott

Ian Douglas McIntyre

Arthur Charles Tomlin

Relja Markovic

Ryan Lucas Hastings

Jeffrey Jesus Evertt

Wei Zhang

Tony Ambrus

Christopher Harley Willoughby

Justin Avram Clark

Joel Deaguero

David C Haley, Jr

Joe Sola

Shawn Crispin Wright

Matthew James Van Gorder

Brett Ethan Johnson

Daniel Lee Osborn

Hardik V Shah

Mark Mihelich

Jay Thaler

Holly A Hirzel

Felix Livni

Michael A Spalding

Daniel Mcculloch

Stephen Gilchrist Latta

Embodiments related to efficiently constructing an augmented reality environment with global illumination effects are disclosed. For example, one disclosed embodiment provides a method of displaying an augmented reality image via a display device. The method includes receiving image data, the image data capturing an image of a local environment of the display device, and identifying a physical feature of the local environment via the image data. The method further includes constructing an augmented reality image of a virtual structure for display over the physical feature in spatial registration with the physical feature from a viewpoint of a user, the augmented reality image comprising a plurality of modular virtual structure segments arranged in adjacent locations to form the virtual structure feature, each modular virtual structure segment comprising a pre-computed global illumination effect, and outputting the augmented reality image to the display device.

Constructing augmented reality environment with pre-computed lighting

A method, medium, and virtual object for providing a virtual representation with an attribute are described. The virtual representation is generated based on a digitization of a real-world object. Properties of the virtual representation, such as colors, shape similarities, volume, surface area, and the like are identified and an amount or degree of exhibition of those properties by the virtual representation is determined. The properties are employed to identify attributes associated with the virtual representation, such as temperature, weight, or sharpness of an edge, among other attributes of the virtual object. A degree of exhibition of the attributes is also determined based on the properties and their degrees of exhibition. Thereby, the virtual representation is provided with one or more attributes that instruct presentation and interactions of the virtual representation in a virtual world.

Adding attributes to virtual representations of real-world objects

To digitize an object, a camera captures images of different sides of the object with color and depth data. At least two different sides of the object are identified from the images, and constructions are created of the sides of the object from the images. Points of the constructions to connect to one another are determined and used to align the constructions. The construction are merged to generate a rendition of the object. Various techniques are applied to extrapolate edges, remove seams, extend color intelligently, filter noise, apply skeletal structure to the object, and optimize the digitization further. The rendition of the object can be provided for display as a digital representation of the object and potentially used in different applications (e.g., games, Web, etc.).

Object digitization

Embodiments are disclosed that relate to authenticating a user of a display device. For example, one disclosed embodiment includes displaying one or more virtual images on the display device, wherein the one or more virtual images include a set of augmented reality features. The method further includes identifying one or more movements of the user via data received from a sensor of the display device, and comparing the identified movements of the user to a predefined set of authentication information for the user that links user authentication to a predefined order of the augmented reality features. If the identified movements indicate that the user selected the augmented reality features in the predefined order, then the user is authenticated, and if the identified movements indicate that the user did not select the augmented reality features in the predefined order, then the user is not authenticated.

Multi-input user authentication on display device

Embodiments are disclosed herein that relate to the automatic tracking of objects. For example, one disclosed embodiment provides a method of operating a mobile computing device having an image sensor. The method includes acquiring image data, identifying an inanimate moveable object in the image data, determining whether the inanimate moveable object is a tracked object, if the inanimate moveable object is a tracked object, then storing information regarding a state of the inanimate moveable object, detecting a trigger to provide a notification of the state of the inanimate moveable object, and providing an output of the notification of the state of the inanimate moveable object.

Object tracking

Digitizing objects in a picture is discussed herein. A user presents the object to a camera, which captures the image comprising color and depth data for the front and back of the object. For both front and back images, the closest point to the camera is determined by analyzing the depth data. From the closest points, edges of the object are found by noting large differences in depth data. The depth data is also used to construct point cloud constructions of the front and back of the object. Various techniques are applied to extrapolate edges, remove seams, extend color intelligently, filter noise, apply skeletal structure to the object, and optimize the digitization further. Eventually, a digital representation is presented to the user and potentially used in different applications (e.g., games, Web, etc.).

Implementations for identifying, capturing, and presenting high-quality photo-representations of acts occurring during play of a game that employs motion tracking input technology are disclosed. As one example, a method is disclosed that includes capturing via an optical interface, a plurality of photographs of a player in a capture volume during play of the electronic game. The method further includes for each captured photograph of the plurality of captured photographs, comparing an event-based scoring parameter to an event depicted by or corresponding to the captured photograph. The method further includes assigning respective scores to the plurality of captured photographs based, at least in part, on the comparison to the even-based scoring parameter. The method further includes associating the captured photographs at an electronic storage media with the respective scores assigned to the captured photographs.

Intelligent gameplay photo capture

Embodiments are disclosed that relate to augmenting an appearance of a surface via a see-through display device. For example, one disclosed embodiment provides, on a computing device comprising a see-through display device, a method of augmenting an appearance of a surface. The method includes acquiring, via an outward-facing image sensor, image data of a first scene viewable through the display. The method further includes recognizing a surface viewable through the display based on the image data and, in response to recognizing the surface, acquiring a representation of a second scene comprising one or more of a scene located physically behind the surface viewable through the display and a scene located behind a surface contextually related to the surface viewable through the display. The method further includes displaying the representation via the see-through display.

Augmented reality display of scene behind surface

Embodiments for providing instructional information for control devices are disclosed. In one example, a method on a see-through display device comprising a see-through display and an outward-facing image sensor includes acquiring an image of a scene viewable through the see-through display and detecting a control device in the scene. The method also includes retrieving information pertaining to a function of an interactive element of the control device and displaying an image on the see-through display augmenting an appearance of the interactive element of the control device with image data related to the function of the interactive element.

Augmented reality overlay for control devices

Optical sensor information captured via one or more optical sensors imaging a scene that includes a human subject is received by a computing device. The optical sensor information is processed by the computing device to model the human subject with a virtual skeleton, and to obtain surface information representing the human subject. The virtual skeleton is transmitted by the computing device to a remote computing device at a higher frame rate than the surface information. Virtual skeleton frames are used by the remote computing device to estimate surface information for frames that have not been transmitted by the computing device.

Video compression using virtual skeleton

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Bellevue, WA, United States of America

Mike Scavezze