Microsoft Technology Licensing, LLC

David C Haley, Jr

Relja Markovic

Shawn Crispin Wright

Jeffrey Jesus Evertt

Mike Scavezze

Justin Avram Clark

Christopher Harley Willoughby

Joel Deaguero

Joe Sola

Stephen G Latta

Kevin Geisner

Daniel Joseph McCulloch

Brian James Mount

Darren Bennett

Anthony James Ambrus

Brian Murphy

Kyungsuk David Lee

David M Hill

Nahil Tawfik Sharkasi

Daniel Lee Osborn

Albert Robles

Dave Hill

Andrew R Campbell

Alexandru Octavian Balan

To digitize an object, a camera captures images of different sides of the object with color and depth data. At least two different sides of the object are identified from the images, and constructions are created of the sides of the object from the images. Points of the constructions to connect to one another are determined and used to align the constructions. The construction are merged to generate a rendition of the object. Various techniques are applied to extrapolate edges, remove seams, extend color intelligently, filter noise, apply skeletal structure to the object, and optimize the digitization further. The rendition of the object can be provided for display as a digital representation of the object and potentially used in different applications (e.g., games, Web, etc.).

Object digitization

Digitizing objects in a picture is discussed herein. A user presents the object to a camera, which captures the image comprising color and depth data for the front and back of the object. For both front and back images, the closest point to the camera is determined by analyzing the depth data. From the closest points, edges of the object are found by noting large differences in depth data. The depth data is also used to construct point cloud constructions of the front and back of the object. Various techniques are applied to extrapolate edges, remove seams, extend color intelligently, filter noise, apply skeletal structure to the object, and optimize the digitization further. Eventually, a digital representation is presented to the user and potentially used in different applications (e.g., games, Web, etc.).

In a motion capture system, a unitary input is provided to an application based on detected movement and/or location of a group of people. Audio information from the group can also be used as an input. The application can provide real-time feedback to the person or group via a display and audio output. The group can control the movement of an avatar in a virtual space based on the movement of each person in the group, such as in a steering or balancing game. To avoid a discontinuous or confusing output by the application, missing data can be generated for a person who is occluded or partially out of the field of view. A wait time can be set for activating a new person and deactivating a currently-active person. The wait time can be adaptive based on a first detected position or a last detected position of the person.

Tracking groups of users in motion capture system

A system and method are disclosed relating to a pipeline for generating a computer model of a target user, including a hand model of the user's hands, captured by an image sensor in a NUI system. The computer model represents a best estimate of the position of a user's hand or hands and whether the hand or hand is in an open or closed state. The generated hand model may be used by a gaming or other application to determine such things as user gestures and control actions.

System for recognizing an open or closed hand

A system and method are disclosed relating to a pipeline for generating a computer model of a target user, including a hand model of the user's hands and fingers, captured by an image sensor in a NUI system. The computer model represents a best estimate of the position and orientation of a user's hand or hands. The generated hand model may be used by a gaming or other application to determine such things as user gestures and control actions.

System for finger recognition and tracking

Growing community of inventors

Dallas, TX, United States of America

David C Haley, Jr