Microsoft Technology Licensing, LLC

Brent Michael Wilson

Corey James Hulen

Michael George Boulton

Jack Elliott

Andrew Zicheng Yeung

Raymond Kirk Price

Michael Bleyer

Christopher Douglas Edmonds

Toby Leonard Sharp

Thomas Joseph Cashman

Jamie Shotton

Erroll William Wood

Kenneth Mitchell Jakubzak

Jingjing Shen

Matthew David Sandy

Stephen Van De Walker Handy

Yang You

Peter Birkedal Peterson

Matthew Julian Lamb

Stephen Handy

Ramesh Arimilli

In various examples there is an apparatus for aligning three-dimensional, 3D, representations of people. The apparatus comprises at least one processor and a memory storing instructions that, when executed by the at least one processor, perform a method comprising accessing a first 3D representation which is an instance of a parametric model of a person; accessing a second 3D representation which is a photoreal representation of the person; computing an alignment of the first and second 3D representations; and computing and storing a hologram from the aligned first and second 3D representations such that the hologram depicts parts of the person which are observed in only one of the first and second 3D representations; or controlling an avatar representing the person where the avatar depicts parts of the person which are observed in only one of the first and second 3D representations.

Alignment of 3D representations for hologram/avatar control

A head-mounted display is presented. The head-mounted display includes an inertial measurement unit (IMU), one or more displays and a controller. The controller is configured to establish a reprojection plane for displaying imagery on the one or more displays. Based on output from the IMU, the position and orientation of the HMD relative to the reprojection plane is determined. Image data is then reprojected to the displays. A depth treatment is applied to each of a plurality of locations on the displays based on the determined position and orientation of the HMD relative to the reprojection plane.

Inertial measurement unit signal based image reprojection

Examples described herein generally relate to displaying an image on a display device where a motion during a latency between a first time associated with activating a first portion of the display device and a second time associated with activating a second portion of the display device is predicted. At least a second portion of an image, to be displayed at the second time, is distorted based at least in part on a function of the motion and the latency to compensate for the latency. A first portion of the image is displayed at the first time by activating the first portion of the display device. The second portion of the image, as distorted, is displayed at the second time by activating the second portion of the display device.

Techniques for compensating variable display device latency in image display

Examples described herein generally relate to rendering graphics in a computing device. A processing over-budget condition related to rendering a frame can be detected, based on which a value of a rendering parameter for a layer, where the layer is one of multiple layers to render for the frame can be modified. The layer can be rendered based at least in part on the value of the rendering parameter while one or more other layers of the multiple layers can be rendered based on respective values for the rendering parameter. The value of the rendering parameter for the layer can be different from at least one of the respective values of the rendering parameter for the one or more other layers.

Techniques for providing dynamic multi-layer rendering in graphics processing

Architecture for slicing data defined on both tabular data sources and in OLAP (online analytical processing) multidimensional data sources by time relative to the current date simultaneously with the same time intelligence (TI) filter on a dashboard page. The architecture employs a simple time period specification (STPS) language used to specify time periods in monitoring server TI filters, and key performance indicator (KPI) filters. The architecture maps all time dimensions to a common set of time aggregations (hierarchy) and to a common calendar.

Navigation across datasets from multiple data sources based on a common reference dimension

A user interface is programmed to create a scorecard. The interface includes a scorecard module including a column area and a row area, and a key performance indicator area including a plurality of key performance indicators. A key performance indicator from the key performance indicator area can be dragged and dropped onto one of the column area and the row area to add indicia associated with the key performance indicator to the scorecard.

Key performance indicator scorecard editor

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Brent Michael Wilson