Microsoft Technology Licensing, LLC

Other

Joseph C Bertolami

Robert Matthew Craig

Michael Alan Dougherty

Matthew L Bronder

John Allen Tardif

Samuel A Mann

Craig C Peeper

Tommer Leyvand

Szymon Piotr Stachniak

Charles Claudius Marais

Shao Liu

Matthew William Lee

Nazeeh Amin Eldirghami

Spencer Dean Perreault

Parham Mohadjer

Jon D Pulsipher

Patrick Orville Cook

Michael Taylor Janney

Kien Toan Huynh

Robert John Fitzgerald

Wayne Richard Bisson

Adam Green

James Chadon Foster

Michael C Johnson

Ronald Forbes

Ronald Omega Forbes, Jr

Example embodiments of the present disclosure provide techniques for receiving measurements from one or more inertial sensors (i.e. accelerometer and angular rate gyros) attached to a device with a camera or other environment capture capability. In one embodiment, the inertial measurements may be combined with pose estimates obtained from computer vision algorithms executing with real time camera images. Using such inertial measurements, a system may more quickly and efficiently obtain higher accuracy orientation estimates of the device with respect to an object known to be stationary in the environment.

Augmented reality computing with inertial sensors

Systems and methods are disclosed for generating stereoscopic images for a user based on one or more images captured by one or more scene-facing cameras or detectors and the position of the user's eyes or other parts relative to a component of the system as determined from one or more images captured by one or more user-facing detectors. The image captured by the scene-facing detector is modified based on the user's eye or other position. The resulting image represents the scene as seen from the perspective of the eye of the user. The resulting image may be further modified by augmenting the image with additional images, graphics, or other data. Stereoscopic mechanisms may also be adjusted or configured based on the location or the user's eyes or other parts.

Systems and methods for generating stereoscopic images

Disclosed herein are systems and methods to control the power consumption of a battery powered platform comprising at least one depth camera. The battery powered platform may adjust the consumption of one or more systems of the depth camera, or other systems on the battery powered platform to alter the power consumption of the battery powered platform.

Dynamic depth power equalization

Systems and methods for unifying coordinate systems in an augmented reality application or system are disclosed. User devices capture an image of a scene, and determine a location based on the scene image. The scene image may be compared to cartography data or images to determine the location. User devices may propose an origin and orientation or transformation data for a common coordinate system and exchange proposed coordinate system data to agree on a common coordinate system. User devices may also transmit location information to an augmented reality system that then determines an a common coordinate system and transmits coordinate system data such as transformation matrices to the user devices. Images presented to users may be adjusted based on user device locations relative to the coordinate system.

Systems and methods for unifying coordinate systems in augmented reality applications

A method and apparatus for rendering the lighting of virtual objects in an augmented reality display. The method includes determining local and ambient light sources based on data provided by one or more light sensors. The light in the physical lighting environment is accounted for by attributing the light to local light sources and/or ambient light sources. A synthesized physical lighting environment is constructed based on the light characteristics of the local and/or ambient light sources, and is used in properly rendering virtual objects in the augmented reality display.

Augmented lighting environments

Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.

Validation analysis of human target

The following discloses antialiasing systems and methods. Information about one or more fragments or primitives in a pixel area may be dynamically stored. The stored information may include, for example, depth, color, location and coverage. The coverage and depth information may be tracked at a higher frequency across the pixel than the number of fragments or primitives. Fragments or primitives that enter into a pixel area may be compared with fragments or primitives that have been stored. The comparisons may be based on depth and coverage. Either the incoming fragment or the stored fragment may be deleted based on the comparisons. Information associated with fragments that are preserved may be sampled at any location associated with their coverage area of a pixel. Fragments or primitives that are not discarded may be preserved for a final resolve process, which may incorporate information available from neighboring pixel areas.

Dynamic fragment coverage antialiasing

Systems and methods are disclosed for generating an image for a user based on an image captured by a scene-facing camera or detector. The user's position relative to a component of the system is determined, and the image captured by the scene-facing detector is modified based on the user's position. The resulting image represents the scene as seen from the perspective of the user. The resulting image may be further modified by augmenting the image with additional images, graphics, or other data.

Dynamic perspective video window

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Redmond, WA, United States of America

Joseph C Bertolami