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US Patent 10210631 Generating synthetic image data

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10210631
Date of Patent
February 19, 2019
Patent Application Number
15727108
Date Filed
October 6, 2017
Patent Citations Received
‌
US Patent 12134483 System and method for automated surface anomaly detection
3
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US Patent 11315021 Method and device for on-device continual learning of a neural network which analyzes input data, and method and device for testing the neural network to be used for smartphones, drones, vessels, or military purpose
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US Patent 11869057 Generating a digital image using a generative adversarial network
5
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US Patent 11908205 Method and system for increasing safety of partially or fully automated driving functions
6
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US Patent 10325201 Method and device for generating deceivable composite image by using GAN including generating neural network and discriminating neural network to allow surveillance system to recognize surroundings and detect rare event more accurately
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US Patent 10534994 System and method for hyper-parameter analysis for multi-layer computational structures
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US Patent 10552714 Generating a digital image using a generative adversarial network
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US Patent 11238197 Generating a 3D dataset containing a simulated surgical device
...
Patent Primary Examiner
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Ruiping Li
Patent abstract

According to an aspect, a method comprises: generating a 2D projection from a 3D representation of an object, generating, based on the 2D projection, a simulated image of the object, wherein the simulated image appears as though the object has been scanned by a detection device, combining the simulated object with a background image to form a synthesized image, wherein the background image was captured by a detection device, and outputting the synthesized image.

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