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US Patent 11967162 Method and apparatus for 3-D auto tagging

Patent 11967162 was granted and assigned to Fyusion on April, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Fyusion
Fyusion
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Current Assignee
Fyusion
Fyusion
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119671620
Patent Inventor Names
Pavel Hanchar0
Radu Bogdan Rusu0
Stefan Johannes Josef Holzer0
Chris Beall0
Abhishek Kar0
Date of Patent
April 23, 2024
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Patent Application Number
179352390
Date Filed
September 26, 2022
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Patent Citations
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US Patent 8078004 Geometric registration of images by similarity transformation using two reference points
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US Patent 8094928 Stereo video for gaming
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US Patent 8160391 Panoramic image fill
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US Patent 8244069 Facilitating computer-assisted tagging of object instances in digital images
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US Patent 8401276 3-D reconstruction and registration
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US Patent 8503826 System and method for computer-aided image processing for generation of a 360 degree view model
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US Patent 8504842 Alternative unlocking patterns
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US Patent 8515982 Annotations for three-dimensional (3D) object data models
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Patent Primary Examiner
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Daniel Chang
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CPC Code
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H04N 5/2258
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G06T 7/33
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G06T 7/20
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G06T 15/00
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G06T 7/0002
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G06T 2207/30252
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H04N 13/275
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G06T 17/00
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Patent abstract

A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

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