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US Patent 11494973 Generating floor maps for buildings from automated analysis of visual data of the buildings' interiors

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11494973
Date of Patent
November 8, 2022
Patent Application Number
17493701
Date Filed
October 4, 2021
Patent Citations
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US Patent 10055876 Optimal texture memory allocation
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US Patent 10068344 Method and system for 3D capture based on structure from motion with simplified pose detection
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US Patent 10083522 Image based measurement system
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US Patent 10102639 Building a three-dimensional composite scene
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US Patent 10102673 Image-based rendering of real spaces
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US Patent 10120397 Interior climate control utilizing multimodal sensor positioning
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US Patent 10122997 Automated matrix photo framing using range camera input
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US Patent 10127718 Methods for indoor 3D surface reconstruction and 2D floor plan recovery utilizing segmentation of building and object elements
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Patent Citations Received
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US Patent 12093615 Apparatus and methods for determining and solving design problems using machine learning
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US Patent 11877159 Computing system that is configured to assign wireless beacons to positions within a building
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0
0
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US Patent 11645781 Automated determination of acquisition locations of acquired building images based on determined surrounding room data
0
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US Patent 11842464 Automated exchange and use of attribute information between building images of multiple types
0
Patent Primary Examiner
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Frank S Chen

Techniques are described for using computing devices to perform automated operations for analyzing video (or other image sequences) acquired in a defined area, as part of generating mapping information of the defined area for subsequent use (e.g., for controlling navigation of devices, for display on client devices in corresponding GUIs, etc.). The defined area may include an interior of a multi-room building, and the generated information may include a floor map of the building, such as from an analysis of some or all image frames of the video (e.g., 360° image frames from 360° video) using structure-from-motion techniques to identify objects with associated plane and normal orthogonal information, and then clustering detected planes and/or normals from multiple analyzed images to determine likely wall locations. The generating may be further performed without using acquired depth information about distances from the video capture locations to objects in the surrounding building.

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