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US Patent 11995854 Mesh reconstruction using data-driven priors

Patent 11995854 was granted and assigned to NVIDIA on May, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
NVIDIA
NVIDIA
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Current Assignee
NVIDIA
NVIDIA
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119958540
Patent Inventor Names
Abhishek Badki0
Orazio Gallo0
Date of Patent
May 28, 2024
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Patent Application Number
162263290
Date Filed
December 19, 2018
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Patent Citations
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US Patent 8538108 Method and apparatus for accelerated elastic registration of multiple scans of internal properties of a body
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US Patent 7149564 Automatic analysis in virtual endoscopy
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US Patent 7184041 Block-based fragment filtration with feasible multi-GPU acceleration for real-time volume rendering on conventional personal computer
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US Patent 7545965 Image modification and detection using massive training artificial neural networks (MTANN)
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US Patent 8289318 Determining three-dimensional shape characteristics in a two-dimensional image
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US Patent 8396268 System and method for image sequence processing
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US Patent 10482674 System and method for mobile augmented reality
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US Patent 10489683 Methods and systems for automatic generation of massive training data sets from 3D models for training deep learning networks
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Patent Primary Examiner
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Charles L Beard
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CPC Code
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G06T 7/55
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G06N 20/00
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G06T 17/205
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G06K 9/6256
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G06F 17/16
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G06T 15/10
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Patent abstract

One embodiment of a method includes predicting one or more three-dimensional (3D) mesh representations based on a plurality of digital images, wherein the one or more 3D mesh representations are refined by minimizing at least one difference between the one or more 3D mesh representations and the plurality of digital images.

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