Matthews, NC, United States of America

Jose David Aguilera

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Insurance Services Office, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jose David Aguilera. Retrieved from https://idiyas.com/inventor/jose-david-aguilera

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jose David Aguilera and His Patent in Computer Vision

Introduction

Jose David Aguilera is an inventor based in Matthews, North Carolina, United States. His work includes a patented computer vision system designed to address missing point data in point clouds generated from stereoscopic images.

Latest Patents

Aguilera is named on 1 patent: “Computer Vision Systems and Methods for Supplying Missing Point Data in Point Clouds Derived from Stereoscopic Image Pairs.” The invention retrieves stereoscopic image pairs associated with a specified geospatial region, generates a disparity map, and processes it into a depth map and then a point cloud. The system supplies missing point data and stores the resulting point cloud for future use.

Career Highlights

Aguilera is associated with Insurance Services Office, Inc. His patent reflects an application of computer vision and image processing to the creation of more complete geospatial point-cloud data.

Collaborations

Aguilera’s listed coworkers include Ángel Guijarro Meléndez and Ismael Aguilera Martin De Los Santos.

Conclusion

Jose David Aguilera’s patent focuses on improving point-cloud completeness by deriving and supplying missing data from stereoscopic image pairs.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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