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US Patent 9665800 Rendering virtual views of three-dimensional (3D) objects

Patent 9665800 was granted and assigned to Google on May, 2017 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9665800
Patent Inventor Names
James J. Kuffner, Jr.0
Date of Patent
May 30, 2017
Patent Application Number
14059082
Date Filed
October 21, 2013
Patent Citations Received
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US Patent 12062100 Structural characteristic extraction using drone-generated 3D image data
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US Patent 12014471 Generation of synthetic 3-dimensional object images for recognition systems
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US Patent 12020376 Method of generating three-dimensional model, training data, machine learning model, and system
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US Patent 11704737 Structural characteristic extraction using drone-generated 3D image data
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US Patent 11715251 Neural network model trained using generated synthetic images
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US Patent 11843709 Secure digital fingerprint key object database
0
...
Patent Primary Examiner
‌
Duy-Vu Nguyen Deo
Patent abstract

Methods and systems for rendering virtual views of three-dimensional (3D) object data models are described. An example method may include receiving information associated with rendering a 3D object data model, and determining virtual views for rendering the 3D object data model. Based on the virtual views and the received information, synthetic training images of the object may be rendered, and information identifying a given virtual view used to render a synthetic training image may be stored with the synthetic training images. A visual object recognition module may determine from a plurality of images and image that substantially matches one or more of the synthetic training images, and the matched image may be associated with information identifying the object and a virtual view used to render a matching synthetic training image. Another method may also leverage information from a synthetic training image to help recognize other objects of the matched image.

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