Bridgeton, MO, United States of America

Esteban F Lopez

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: The Boeing Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Esteban F Lopez. Retrieved from https://idiyas.com/inventor/esteban-f-lopez

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 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Esteban F. Lopez and Image Segmentation Innovation.

Introduction

Esteban F. Lopez is an inventor associated with Bridgeton, Missouri, and The Boeing Company. His patent work addresses image segmentation using object detection, a technique for identifying an object and outlining its boundary within an image.

Latest Patents

Lopez is associated with 1 patent, titled “Techniques for Image Segmentation Using Object Detection.” The disclosed method divides an image into cells and applies an image classification model to identify cells depicting an object. It then examines nearby cells to refine the identification and uses the selected cells to generate a border around the object.

Career Highlights

Lopez’s listed invention combines image classification with a localized, iterative approach to segmentation. By evaluating cells near an initially detected object, the method aims to produce a more precise outline.

Collaborations

Lopez is identified as a coworker of Liessman E. Sturlaugson. The available information does not specify their particular collaboration on the patent.

Conclusion

Esteban F. Lopez’s patent reflects an approach to image segmentation that uses object detection and nearby image regions to define an object’s boundary.

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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