Microsoft Technology Licensing, LLC

Dan Hou

Roberto R Molinari

Eyal Ofek

Blaise Aguera Y Arcas

Michael Kroepfl

Scott Vernon Fynn

Tony Ernst

Wenwu Zhu

Frederik Schaffalitzky

Gavin Dean Lazarow

Siyuan Tang

Embodiments that relate to sharing mixed reality experiences among multiple display devices are disclosed. In one embodiment, a method includes receiving current versions of a plurality of data subtypes geo-located at a keyframe location. A world map data structure is updated to include the current versions, and a neighborhood request including the keyframe location is received from a display device. Based on the keyframe location, an identifier and current version indicator for each data subtype is provided to the device. A data request from the device for two or more of the data subtypes is received, and the two or more data subtypes are prioritized based on a priority hierarchy. Based on the prioritization, current versions of the data subtypes are sequentially provided to the device for augmenting an appearance of a mixed reality environment.

Mixed reality data collaboration

This document describes techniques for creating three-dimensional models of image collections using a network-accessible (e.g., cloud-based) computation service, rather than a client computing device. In some instances described below, the computation service performs at least a portion of the operations for creating these models in parallel.

Computing three-dimensional image models in parallel

Photographs of an object may be oriented with respect to both the geographic location and orientation of the object by registering a 3D model derived from a plurality of photographs of the objects with a 2D image of the object having a known location and orientation. For example, a 3D point cloud of an object created from photographs of the object using a Photosynth&#x2122; tool may be aligned with a satellite photograph of the object, where the satellite photograph has location and orientation information. A tool providing scaling and rotation of the 3D model with respect to the 2D image may be used or an automatic alignment may be performed using a function based on object edges filtered at particular angles. Once aligned, data may be recorded that registers camera locations for the plurality of photographs with geographic coordinates of the object, either absolute latitude/longitude or relative to the object.

Spatially registering user photographs

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Seattle, WA, United States of America

Dan Hou