Microsoft Technology Licensing, LLC

Johannes Lutz Schonberger

Marc Andre Leon Pollefeys

Christoph Vogel

Juan Ignacio Nieto Couadeau

Timon Esli Knigge

Jan-Willem Buurlage

Marcel Nicolas Geppert

A method for collecting telemetry data for updating a 3D map of an environment comprising carrying out a first relocalization event whereby: data from an observation at time t1 by a pose tracker is used to compute a first 3D map pose of the pose tracker, and a first local pose of the pose tracker at time t1 is received. A second relocalization event occurs where a second 3D map pose of the pose tracker is computed from data from an observation at time and a second local pose of the pose tracker at time t2 is received. A first relative pose between the first and second 3D map pose is computed. A second relative pose between the first and second local pose is computed. A residual being a difference between the first relative pose and the second relative pose is stored as input to a process for updating the 3D map.

Collecting telemetry data for 3D map updates

A method for authorizing access to one or more secured computer resources includes obfuscating a reference biometric vector into an obfuscated reference biometric vector using a similarity-preserving obfuscation. An authentication biometric vector is obfuscated into an obfuscated authentication biometric vector using the similarity-preserving obfuscation. A similarity of the obfuscated authentication biometric vector and the obfuscated reference biometric vector is tested. Based on the similarity being within an authentication threshold, access to the one or more secured computer resources is authorized.

Access authentication using obfuscated biometrics

A 3D map comprising sensor data items depicting the environment is updated, each sensor data item having one or more associated variables such as a pose of a capture device or a position of a landmark. A graph is calculated from sensor data items. The graph comprises nodes and edges, a node representing at least one variable in the received sensor data items and an edge representing relationships between variables. The graph is partitioned into a plurality of subgraphs so as to reduce a number of variables that are shared between subgraphs. Each of the plurality of subgraphs is allocated to a respective worker node. At each worker node, updated values of the variables are computed. The process updates values of variables which are shared between subgraphs to a common value using a consensus process. The 3D map of the environment is updated according to the updated values of the variables.

Updating a 3D map of an environment

A method for image-based localization includes, at a camera device, capturing a plurality of images of a real-world environment. A first set of image features are detected in a first image of the plurality of images. Before additional sets of image features are detected in other images of the plurality, the first set of image features is transmitted to a remote device configured to estimate a pose of the camera device based on image features detected in the plurality of images. As the additional sets of image features are detected in the other images of the plurality, the additional sets of image features are transmitted to the remote device. An estimated pose of the camera device is received from the remote device.

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Zurich, Switzerland

Johannes Lutz Schonberger