Microsoft Technology Licensing, LLC

Sean Eron Anderson

Zhengyou Zhang

Christian F Huitema

Lin Liang

Cha Zhang

Nikolay Smolyanskiy

Michael Anthony Hall

Zicheng Liu

Nikolai Smolyanskiy

Yinpeng Chen

Anthony C Romano

Matthew Adam Simari

Brian Kai Peasley

Timothy D Burrell

Brenden West

Systems, methods, and computer-executable instructions for connecting devices includes receiving a device identifier associated with a second device. A search is initiated for a second device profile associated with the device identifier using the device identifier. The second device profile is received. The second device profile includes a device address and a link key. The link key was generated by a second device different from the first device. The address of the first device is set to the device address. Encrypted data is received from the second device addressed to the address.

Virtual profile for Bluetooth

A vehicle camera system captures and transmits video to a user device, which includes a viewing device for playback of the captured video, such as virtual reality or augmented reality glasses. A rendering map is generated that indicates which pixels of the video frame (as identified by particular coordinates of the video frame) correspond to which coordinates of a virtual sphere in which a portion of the video frame is rendered for display. When a video frame is received, the rendering map is used to determine the texture values (e.g., colors) for coordinates in the virtual sphere, which is used to generate the display for the user. This technique reduces the rendering time when a user turns his or her head (e.g., while in virtual reality) and so it reduces motion and/or virtual reality sickness induced by the rendering lag.

Selecting portions of vehicle-captured video to use for display

Systems and methods for person counting are disclosed. A method may include retrieving an image frame from a plurality of image frames captured by a camera. The image frame may be split into a grid of a plurality of cells of a pre-determined cell dimensions. The pre-determined cell dimensions may be based on dimensions of the retrieved image frame and reference dimensions of training images of a person detection classifier. At least a portion of the plurality of cells may be rearranged to generate a new image. The new image may be padded with at least one padding strip to adjust dimensions of the new image to the reference dimensions of the training images. Person detection may be performed using the new image and the person detection classifier to obtain a number of persons detected within the new image.

System and method for person counting in image data

A three-dimensional shape parameter computation system and method for computing three-dimensional human head shape parameters from two-dimensional facial feature points. A series of images containing a user's face is captured. Embodiments of the system and method deduce the 3D parameters of the user's head by examining a series of captured images of the user over time and in a variety of head poses and facial expressions, and then computing an average. An energy function is constructed over a batch of frames containing 2D face feature points obtained from the captured images, and the energy function is minimized to solve for the head shape parameters valid for the batch of frames. Head pose parameters and facial expression and animation parameters can vary over each captured image in the batch of frames. In some embodiments this minimization is performed using a modified Gauss-Newton minimization technique using a single iteration.

Computing 3D shape parameters for face animation

A method for operating an image processing device coupled to a color camera and a depth camera is provided. The method includes receiving a color image of a 3-dimensional scene from a color camera, receiving a depth map of the 3-dimensional scene from a depth camera, generating an aligned 3-dimensional face mesh from a plurality of color images received from the color camera indicating movement of a subject's head within the 3-dimensional scene and form the depth map, determining a head region based the depth map, segmenting the head region into a plurality of facial sections based on both the color image, depth map, and the aligned 3-dimensional face mesh, and overlaying the plurality of facial sections on the color image.

Camera system and method for hair segmentation

Methods and systems for face detection and tracking using an image-based capture device are disclosed herein. The method includes generating a depth image of a scene, generating a mask image from the depth image, and detecting a position of a face of a user in the scene using the mask image. The method also includes determining an intensity of the face using a first color channel of the mask image and adjusting a gain level of a first color channel of the image-based capture device directed at the scene to achieve a target intensity of the face.

Face detection and tracking

An online voting system provides a standardized database architecture that integrates editorial and production processes. The voting system has a survey database to store multiple surveys and a server to serve the surveys over a network (e.g., the Internet) to readers. Each survey consists of one or more questions and multiple answer options per question. The voting system includes an authoring tool to permit an editor to construct the surveys. The surveys are stored in a predefined survey index tables. A display handler checks reader requests for pages that contain surveys, to determine whether the reader should receive a voting form or survey results. A vote handler processes votes cast by the readers in response to the surveys. Unique identifiers of voters who respond to the surveys are collected in a votes table. This table is checked when each vote is received to prevent readers from voting multiple times for a single survey. The vote handler tallies the votes cast for the answer options in a totals table. The survey index table also has fields to hold voting results for corresponding survey questions and answer options. The vote handler periodically updates these fields with the totals kept in the totals table. This update is automatic without intervention from the editors. The same index table holds the information to present the survey questions (to first time readers) and to show the results to the survey (to readers who have cast a vote). Over time, the editor may remove one or more questions or the entire survey from the survey index table. The surveys are archived, along with all of the voting data from the three tables, in persistent storage. After archival, the voting data for the removed surveys is automatically deleted from all three tables.

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Redmond, WA, United States of America

Sean Eron Anderson