Microsoft Technology Licensing, LLC

Patrick John Sweeney

Kestutis Patiejunas

Zheng Wang

Kristofer Noel Iverson

Adam M Smith

Sriram Subramanian

Emmett Walter Lalish

David Harnett

Robert Albert Wlodarczyk

Alvaro Collet Romea

Ming Chuang

Don Gillett

William Crow

Rahul V Patil

Biliana K Kaneva

Steven Craig Sullivan

Dennis Evseev

Eduardo M Maia

David F Harnett

Emmett Lalish

Systems, devices, and methods are described herein for transforming three dimensional (3D) video data into a 3D printable model. In one aspect, a method for transforming 3D video data may include receiving 3D video data indicated or selected for 3D printing. The selected portion or 3D video data, which may include a frame of the 3D video data, may be repaired or modified to generate a 3D model that define at least one enclosed volume. At least one of the enclosed volumes of the 3D video data may be re-oriented based on at least one capability of a target 3D printing device. In some aspects, the re-orienting may be performed to optimize at least one of a total print volume or print orientation of the at least one enclosed volume. In some aspects, the method may be performed in response to a single selection or action performed by a user.

3D printing using 3D video data

The subject disclosure is directed towards mixing RGB data with infrared data so as to provide depth-related data in regions where infrared data are sparse. Infrared data, such as corresponding to point cloud data, are processed to determine sparse regions therein. For any such sparse regions, RGB data corresponding to a counterpart region in the RGB data are added to a data structure. The data structure, which may include or be concatenated to the IR data, may be used for depth-related data, e.g., with a point cloud.

Mixing infrared and color component data point clouds

Methods and systems for three-dimensional texture reprojection are provided herein. The method includes calculating an initial distance vector from a vertex within a 3D mesh of an object to each of a plurality of texture images. For each texture image, the method also includes determining coordinates of an intersection point of the initial distance vector with the texture image, determining a number of neighboring points within a specified distance from the intersection point, and calculating an overall distance vector from the neighboring points to any of the points within the 3D mesh. Furthermore, the method includes determining a number of texture images with a lowest difference between the initial distance vector and the overall distance vector.

Three-dimensional texture reprojection

Video of a scene is generated and presented to a user. A stream of mesh models of the scene and a corresponding stream of mesh texture maps are generated from one or more streams of sensor data that represent the scene. Each of the mesh models includes a collection of faces, and each of the mesh texture maps defines texture data for one or more points on the faces. Each of the mesh models is broken down into convex sections. Each of the convex sections is surrounded with a three-dimensional hull. The texture data that is associated with each of the faces in the convex section is projected onto the three-dimensional hull, and a hull texture map for the convex section is produced.

Video generation using three-dimensional hulls

Methods and systems for applying visual effects to active content, such as buttons, comboboxes, video, edit fields, etc., wherein interactivity of the active content are retained thereafter. Also, the present disclosure provides a mechanism for developers to build new visual effects and have them applied to active content.

Extensible visual effects on active content in user interfaces

Growing community of inventors

Woodinville, WA, United States of America

Patrick John Sweeney