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US Patent 9679227 System and method for detecting features in aerial images using disparity mapping and segmentation techniques

Patent 9679227 was granted and assigned to Xactware on June, 2017 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Current Assignee
‌
Xactware
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9679227
Patent Inventor Names
Edmund Webecke0
Jeffrey Taylor0
Date of Patent
June 13, 2017
Patent Application Number
14450861
Date Filed
August 4, 2014
Patent Citations Received
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US Patent 12123959 Unmanned aircraft structure evaluation system and method
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US Patent 11915368 Systems and methods for modeling structures using point clouds derived from stereoscopic image pairs
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US Patent 11922098 Computer vision systems and methods for modeling roofs of structures using two-dimensional and partial three-dimensional data
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US Patent 12079013 Systems and methods for taking, processing, retrieving, and displaying images from unmanned aerial vehicles
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US Patent 12124775 System and method for generating computerized floor plans
0
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US Patent 12125139 Computer vision systems and methods for generating building models using three-dimensional sensing and augmented reality techniques
0
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US Patent 11687768 Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis
0
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US Patent 11688186 Systems and methods for rapidly developing annotated computer models of structures
0
...
Patent Primary Examiner
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Sheela C Chawan
Patent abstract

A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.

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