Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Jonathan Robert Dughi

David Maxwell Gedye

Eyal Ofek

Billy P Chen

Pragyana K Mishra

Blaise Aguera Y Arcas

Danny Guan

Alfred Astort

Bryan Kent Ressler

Ian A Gilman

Mark Ruane Dawson

David Joseph Rendleman

Joshua Podolak

Gonzalo Alberto Ramos

Tim Phillip Wantland

Kristoffer Bernt Henriksson

Diagnostics may be performed on imaging devices such as digital cameras that are provided in large numbers, or mounted in arrays or networks, by providing imaging data captured from such devices to a machine learning system or classifier that has been trained to recognize anomalies based on imaging data. The machine learning system or classifier may be trained using a training set of imaging data previously captured by one or more imaging devices that has been labeled with regard to whether such imaging devices encountered any anomalies when the imaging data was captured, and if so, which anomalies were encountered. Additionally, a perceptual score which represents the quality of a given image or imaging data may be calculated and used to rank or define the image or imaging data in terms of quality, or determine whether the image or imaging data is suitable for its intended purpose.

Automatic large-scale imaging device diagnostics

Technologies are described herein for transitioning between a top-down map display of a reconstructed structure within a 3-D scene and an associated local-navigation display. An application transitions between the top-down map display and the local-navigation display by animating a view in a display window over a period of time while interpolating camera parameters from values representing a starting camera view to values representing an ending camera view. In one embodiment, the starting camera view is the top-down map display view and the ending camera view is the camera view associated with a target photograph. In another embodiment, the starting camera view is the camera view associated with a currently-viewed photograph in the local-navigation display and the ending camera view is the top-down map display.

Transitioning between top-down maps and local navigation of reconstructed 3-D scenes

Technologies are described herein for providing user interfaces through which a user may interact with a top-down map of a reconstructed structure within a 3-D scene. An application provides one or more user interfaces allowing a user to select a camera pose, a reconstruction element, a point, or a group of points on the top-down map. The application then determines at least one representative photograph from the visual reconstruction based on the selection of the user, and the displays a preview of the representative photograph on the top-down map as a thumbnail image. The provided user interfaces may further allow the user to navigate to the representative photograph in the local-navigation display of the visual reconstruction.

User interfaces for interacting with top-down maps of reconstructed 3-D scences

Technologies are described herein for transitioning between a top-down map of a reconstructed structure within a 3-D scene and an associated local-navigation display. An application transitions between the top-down map and the local-navigation display by animating a view in a display window over a period of time while interpolating camera parameters from values representing a starting camera view to values representing an ending camera view. In one embodiment, the starting camera view is the top-down map view and the ending camera view is the camera view associated with a target photograph. In another embodiment, the starting camera view is the camera view associated with a currently-viewed photograph in the local-navigation display and the ending camera view is the top-down map.

Display screen with an icon

A system, method, and computer-readable media are presented for presenting similar images of a selected image in a user interface. One embodiment of the method can include identifying a selected first image and identifying a selected direction from the first image. Additionally, the method can include calculating a best neighbor metric for each of one or more other images to determine a best neighbor image in the selected direction. Furthermore, the method can include presenting the best neighbor image to a user in a user interface.

User interface for navigating through images

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Seattle, WA, United States of America

Jonathan Robert Dughi