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US Patent 11508095 Hierarchical point cloud compression with smoothing

Patent 11508095 was granted and assigned to Apple (company) on November, 2022 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Apple (company)
Apple (company)
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Current Assignee
Apple (company)
Apple (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115080950
Patent Inventor Names
Yeping Su0
Valery G. Valentin0
Khaled Mammou0
Jungsun Kim0
Fabrice A. Robinet0
Alexandros Tourapis0
Date of Patent
November 22, 2022
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Patent Application Number
171631940
Date Filed
January 29, 2021
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Patent Citations
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US Patent 10395419 Non-destructive multi-resolution surface clipping
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US Patent 10462485 Point cloud geometry compression
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US Patent 10467756 Systems and methods for determining a camera pose of an image
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US Patent 10559111 Systems and methods for generating computer ready animation models of a human head from captured data images
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US Patent 10587286 Methods and devices for handling equiprobable symbols in entropy coding
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US Patent 10607373 Point cloud compression with closed-loop color conversion
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US Patent 10659816 Point cloud geometry compression
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US Patent 10699444 Point cloud occupancy map compression
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Patent Citations Received
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US Patent 11748916 Occupancy map block-to-patch information compression
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US Patent 12073596 Information processing apparatus and method
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US Patent 12094179 Quantized depths for projection point cloud compression
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US Patent 12106528 Generating scene flow labels for point clouds using object labels
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US Patent 11948338 3D volumetric content encoding using 2D videos and simplified 3D meshes
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US Patent 11935272 Point cloud compression
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US Patent 11922665 Point cloud compression
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US Patent 11895307 Block-based predictive coding for point cloud compression
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Patent Primary Examiner
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Phuoc H Doan
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CPC Code
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H04N 19/91
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G06T 17/00
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G06T 9/00
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G06T 17/10
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G06T 3/40
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G06T 9/001
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G06T 15/08
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G02B 21/367
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A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, multiple levels of detail are generated based on spatial information. Also, attribute values are predicted based on the level of details. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, an update operation is performed to smooth attribute correction values taking into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.

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