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US Patent 10475225 Avatar animation system

Patent 10475225 was granted and assigned to Intel on November, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Intel
Intel
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Current Assignee
Intel
Intel
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104752250
Patent Inventor Names
Myung-Ho Ju0
Jihyeon Yi0
Lidan Zhang0
Minje Park0
Qiang Li0
Tae-Hoon Kim0
Xiaolu Shen0
Date of Patent
November 12, 2019
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Patent Application Number
151248110
Date Filed
December 18, 2015
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Patent Citations Received
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US Patent 11514635 System for generating media content items on demand
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US Patent 11523159 Generating media content items based on location information
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US Patent 12136153 Messaging system with augmented reality makeup
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US Patent 11468618 Animated expressive icon
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US Patent 11474663 Location-based search mechanism in a graphical user interface
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US Patent 11477149 Generating customized graphics having reactions to electronic message content
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US Patent 11509615 Generating customized electronic messaging graphics
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US Patent 11516173 Message composition interface
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Patent Primary Examiner
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Kimbinh T. Nguyen
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Patent abstract

Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.

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