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US Patent 11989900 Object recognition neural network for amodal center prediction

Patent 11989900 was granted and assigned to Magic Leap on May, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Magic Leap
Magic Leap
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Current Assignee
Magic Leap
Magic Leap
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119899000
Patent Inventor Names
Khushi Gupta0
Siddharth Mahendran0
Nitesh Sekhar0
Manushree Gangwar0
Nitin Bansal0
Prateek Singhal0
Date of Patent
May 21, 2024
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Patent Application Number
173571180
Date Filed
June 24, 2021
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Patent Citations
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US Patent 10509947 Converting multi-dimensional data for image analysis
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US Patent 10824862 Three-dimensional object detection for autonomous robotic systems using image proposals
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Patent Primary Examiner
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Shefali D Goradia
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CPC Code
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G06N 3/04
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G06V 10/454
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G06V 20/647
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G06V 20/20
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G06T 2207/20084
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G06T 19/006
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G06T 7/60
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G06T 7/73
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Patent abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for object recognition neural network for amodal center prediction. One of the methods includes receiving an image of an object captured by a camera. The image of the object is processed using an object recognition neural network that is configured to generate an object recognition output. The object recognition output includes data defining a predicted two-dimensional amodal center of the object, wherein the predicted two-dimensional amodal center of the object is a projection of a predicted three-dimensional center of the object under a camera pose of the camera that captured the image.

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