Microsoft Technology Licensing, LLC

Matthew B Karr

Raymond Kirk Price

Michael Bleyer

Christopher Douglas Edmonds

Sudipta Narayan Sinha

Jason Anthony Grieves

Michael Edward Samples

Jeremy De Souza

Paul James Reid

Brett Humphrey

Douglas R Kirschner

Katherine Ann Corner

A system for continuous image alignment of separate cameras identifies a reference camera transformation matrix between a base reference camera pose and an updated reference camera pose. The system also identifies a match camera transformation matrix between a base match camera pose and an updated match camera pose and an alignment matrix based on visual correspondences between one or more reference frames captured by the reference camera and one or more match frames captured by the match camera. The system also generates a motion model configured to facilitate mapping of a set of pixels of a reference frame captured by the reference camera to a corresponding set of pixels of a match frame captured by the match camera based on the reference camera transformation matrix, the match camera transformation matrix, and the alignment matrix.

Systems and methods for continuous image alignment of separate cameras

A touch screen computing device with an easy to use user interface. The computing device provides on the touch screen a control area associated with a content viewing area. Touch inputs that initiate in the control area, even if they extend into the viewing area, are interpreted as commands that manipulate the display of content. Other touch inputs are interpreted as interactions with displayed content. The control area may be formatted to allow easy access by a user holding the computing device. Through such an interface the user may input commands specifying direct manipulation of the content, without frustration that can occur from the computing device incorrectly interpreting those commands as interaction with the content.

Control area for a touch screen

A developer tool is used to programmatically calculate the contrast between the text and background in a user interface. A luminosity ratio is automatically calculated by the tool by capturing an image of a user interface, archiving user interface elements that do not contain text, performing optical character recognition on the remaining user interface elements to find pixels on the text part of the user interface element and pixels on the background part of the user interface element, and finally calculating the luminosity ratio. Results including errors, warnings and luminosity ratio for one or more hotspots in the image can be returned. Results can be used to identify user interface elements that comply or fail to comply with visibility guidelines for contrast between user interface text and background.

Automated contrast verifications

Various technologies and techniques are disclosed that improve the operation of accessibility applications. A graphics pipe is provided that can be called in user mode from multiple accessibility programs. A request is received from an accessibility application to access the graphics pipe, and a connection is established. The accessibility application listens to the graphics pipe for particular content of interest and builds a model based on that content. The model is used to deliver content to an end user appropriately. Screen captures can be performed on at least part of the content and then rendered onto another surface.

Alternative graphics pipe

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Seattle, WA, United States of America

Matthew B Karr