Booz Allen Hamilton Inc.

Michael Tong

James J Ter Beest

Andre Tai Nguyen

Kevin Green

Andrew Kalukin

Rory Thomas Burke

Alexander Tejada

Erin Bradford

Nathan Schwan

Saba Ali

Nat Burgwyn

Dave Babbitt

David Sanborn

Carver Sorensen

Jo Clark

Cornelius Griggs

Brandon Fallin

Michael Joyce

Kevin Chiu

Douglas James Sanborn

Jacob Stevens-Haas

Catherine Ordun

Paul McLone Carson

Andrea Blackwell

Exemplary systems and methods are directed to generating synthetic data for computer vision. A processing device generates a synthetic three-dimensional (3D) image of an object. A background image is selected, and a composite image is generated by combining the 3D image of the object and the background image. The processing device simulates: reflection or emission of at least one type of radiant energy from the surface of the object and/or the background according to a set of parameters associated with at least one of the object and the background image; and a reflectance or emittance measurement of the at least one type of radiant energy from the surface of the object by a sensor device configured for detecting the at least one type of radiant energy. The processing device generates a plurality of two-dimensional (2D) simulated images of different perspectives of the object based on simulation data.

System and method for generating synthetic data

A computer-implemented method for assessing an image sentiment. The method can include receiving an image to identify a region of interest in the image; determining an image sentiment value associated with the image based on the region of interest, or a classification of the image; and displaying an indication of the image sentiment value with a spatial (e.g. geographical) location.

System and method for assessing an image sentiment

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Arlington, VA, United States of America

Michael Tong