Hewlett-packard Development Company, L.p.

Microsoft Technology Licensing, LLC

Hewlett-packard Company

Hewlett-packard Development, L.p.

Andrew Clark Goris

Donald J Stavely

Dan L Dalton

Drew Edward Steedly

Nathan Ackerman

Jason E Yost

Byron Alan Alcorn

Robert Paul Cazier

Alexandru Octavian Balan

Scott Fullam

Timothy Louis Kohler

Martin Thomas Shetter

Casey L Miller

Michael Edward Samples

Quentin Simon Charles Miller

Lev Cherkashin

James Tichenor

Steven James Velat

David Rohn

William Douglas Guyman

Ivan Razumenic

Vladimir Carapic

Robert F Yockey

Vuk Jovanovic

Kevin W Nay

David Branson

Travis Scott Legg

Taras Khapko

Robert W Fredrickson

Jelena Mojasevic

Richard Turley

Lori Ann Potts

Marko Bezulj

Craig Haskins

Lisa K Roberts

Timothy Paul James Kindberg

David R Lawson

Linda A Kennedy

Victoria L Naffier

George W Prokop

David Douglas Bohn

Stephen Edward Hodges

David Nister

Scott Henderson

Shahram Izadi

Scott Charles McEldowney

Davin Stowell

James C Dow

Andrew William Fitzgibbon

Anthony Di Bitonto

Stephen Bernard Pollard

Thomas Charles Oliver

Steven John Robbins

Daniel Formosa

Daniel Maack Bloom

Gregory V Hofer

David W Boyd

Maurizio Pilu

David Kay Campbell

Mark John Bianchi

Nicholas Yen-Cherng Chen

Eugene Arthur Miksch

Brian L Hastings

Shane D Voss

Asaf Pellman

James S Voss

James W Owens

Steve Robbins

Xinye Lou

Wilfred Francis Brake

Miles Kevin Thorland

Amir Nevet

Kevin N Smith

Kevin J Matherson

Monish S Shah

James Peele Terrell, Jr

David Mandelboum

Barry K Hansen

David Burks

Mary E Moses

Robert W Frederickson

Scott Francis Fullam

Examples of mixed reality computing devices that utilize remote sensors and local sensors as input devices are disclosed. In one example, a mixed reality computing device comprises an image sensor, a remote input device, a processor, and storage comprising stored instructions. The stored instructions are executable by the processor to perform object motion tracking and environmental tracking based on output from the image sensor, and in response to detecting that the remote input device is in use, adjust a parameter of the motion tracking while maintaining the environmental tracking.

Object motion tracking with remote device

One disclosed example provides a head-mounted device configured to control a plurality of light sources of a handheld object and acquire image data comprising a sequence of environmental tracking exposures in which the plurality of light sources are controlled to have a lower integrated intensity and handheld object tracking exposures in which the plurality of light sources are controlled to have a higher integrated intensity. The instructions are further executable to detect, via an environmental tracking exposure, one or more features of the surrounding environment, determine a pose of the head-mounted device based upon the one or more features of the surrounding environment detected, detect via a handheld object tracking exposure the plurality of light sources of the handheld object, determine a pose of the handheld object relative to the head-mounted device based upon the plurality of light sources detected, and output the pose of the handheld object.

Object and environment tracking via shared sensor

An example see-through head-mounted display system includes a freeform prism and a display device configured to emit display light through the freeform prism to an eye of a user. The see-through head-mounted display system may also include an imaging device configured to receive gaze-detection light reflected from the eye and directed through the freeform prism.

Eye-tracking system using a freeform prism and gaze-detection light

A system and method are disclosed for detecting angular displacement of a display element relative to a reference position on a head mounted display device for presenting a mixed reality or virtual reality experience. Once the displacement is detected, it may be corrected for to maintain the proper binocular disparity of virtual images displayed to the left and right display elements of the head mounted display device. In one example, the detection system uses an optical assembly including collimated LEDs and a camera which together are insensitive to linear displacement. Such a system provides a true measure of angular displacement of one or both display elements on the head mounted display device.

Active binocular alignment for near eye displays

Embodiments are disclosed that relate to controlling a depth camera. In one example, a method comprises emitting light from an illumination source toward a scene through an optical window, selectively routing a at least a portion of the light emitted from the illumination source to an image sensor such that the portion of the light is not transmitted through the optical window, receiving an output signal generated by the image sensor based on light reflected by the scene, the output signal including at least one depth value of the scene, and adjusting the output signal based on the selectively routed portion of the light.

Depth camera feedback

Speckle sensing for motion tracking is described, for example, to track a user's finger or head in an environment to control a graphical user interface, to track a hand-held device, to track digits of a hand for gesture-based control, and to track 3D motion of other objects or parts of objects in a real-world environment. In various examples a stream of images of a speckle pattern from at least one coherent light source illuminating the object, or which is generated by a light source at the object to be tracked, is used to compute an estimate of 3D position of the object. In various examples the estimate is transformed using information about position and/or orientation of the object from another source. In various examples the other source is a time of flight system, a structured light system, a stereo system, a sensor at the object, or other sources.

Speckle sensing for motion tracking

An apparatus for processing images of a display includes an image sequence receiving module adapted to receive a first sequence of images of the display. The first sequence of images includes at least one image corrupted due to partial refreshing of the display. The apparatus also includes an image processing module operable to process the first sequence of images on an image by image basis to eliminate the at least one corrupted image from at least one of the first sequence of images and a second sequence of images captured subsequent to the first sequence of images.

Processing images of a display

In a method for obtaining a resource to read a symbol, an image containing at least one of the symbol and an indicator of the symbol is obtained. At least a portion of the obtained image is sent to a symbol identification service and the resource from the symbol identification service is received, wherein the resource enables the symbol to be read.

Obtaining a resource to read a symbol

A machine-implemented method of generating a stabilized video sequence includes receiving an input video sequence captured by an image capture device. The input video sequence includes a plurality of pairs of successive frames. Motion sensor data indicative of motion of the image capture device while the input video sequence was being captured is received. A set of matching features for each pair of successive frames is identified. Global motion features are identified in each set of matching features and qualified based on the motion sensor data. The global motion features are indicative of movement of the image capture device. A stabilized video sequence is generated based on the input video sequence and the identified global motion features.

Generating a stabilized video sequence based on motion sensor data

Systems and methods for implementing Z-buffer generation in a camera are disclosed. In an exemplary embodiment the method may comprise exposing a plurality of pixels on an image capture device to a modulated light signal reflected from different regions of a scene adjacent a camera after different delays. The method may also comprise correlating intensity of the modulated light signal received by the image capture device for each the different delays to determine a flight time of the modulated light signal. The method may also comprise generating a Z-buffer corresponding to the different regions of the scene based on the correlation.

Systems and methods of generating Z-buffers for an image capture device of a camera

A method for determining an illuminant in a scene includes, applying, to sampled outputs of a sensor array used to capture the scene, a plurality of color-correction profiles, wherein each color-correction profile corresponds to a particular illuminant, thereby forming a plurality of color-corrected sampled outputs. The method further includes identifying the illuminant in the scene as corresponding to the color-corrected sampled output having the least color variance.

Determining the illuminant in a captured scene

Systems and methods for implementing Z-buffer generation in a camera are disclosed. In an exemplary embodiment the method may comprise actuating a light sensor after various delays to receive a plurality of modulated light signals reflected from different regions of a scene adjacent a camera. The method may also include determining distance information for the different regions of the scene based on brightness values for the plurality of modulated light signals reflected from the scene for the various delays. The method may also include storing the distance information in a Z-buffer at the camera.

Systems and methods of generating Z-buffers in cameras

A method of capturing images in an imaging device in a burst zoom operation includes zooming the imaging device from a first zoom setting to a second zoom setting, and automatically capturing a plurality of still images during the zooming, each of the plurality of still images being captured at a different zoom setting.

Imaging device with burst zoom mode

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Loveland, CO, United States of America

Andrew Clark Goris