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US Patent 10504008 System and method for relocalization and scene recognition

Patent 10504008 was granted and assigned to Occipital on December, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Occipital
Occipital
Current Assignee
Occipital
Occipital
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10504008
Date of Patent
December 10, 2019
Patent Application Number
15652893
Date Filed
July 18, 2017
Patent Citations Received
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US Patent 12067687 Cross reality system with simplified programming of virtual content
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US Patent 11978159 Cross reality system
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US Patent 11995782 Cross reality system with localization service
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US Patent 11494928 Method for predicting a three-dimensional (3D) representation, apparatus, system and computer program therefor
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US Patent 10704918 Method and apparatus for improved location decisions based on surroundings
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US Patent 10803343 Motion-aware keypoint selection system adaptable to iterative closest point
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US Patent 10940587 Data association aware belief space planning and perception
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US Patent 11676303 Method and apparatus for improved location decisions based on surroundings
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...
Patent Primary Examiner
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David Perlman
Patent abstract

A system configured to improve the operations associated with generating virtual representations of physical environments to recognize the physical environments and/or relocalize within the virtual representations in a substantially real time system. In some cases, the system may use a first pre-training phase of descriptors and/or split nodes of regression forests using features common across various scenes to learn general image appearance, and a second training phase of descriptors and/or leaf nodes of regression forests to learn scene specific features. The system may align the features using an orientation vector, correct for camera perspective and lens distortion of the features as well as learn robust illumination invariant features from real and synthetic data.

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