Seattle, WA, United States of America

Kevin Matzen

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kevin Matzen. Retrieved from https://idiyas.com/inventor/kevin-matzen

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Kevin Matzen and Pose Estimation Innovation.

Introduction

Kevin Matzen is an inventor based in Seattle, Washington. His patent work includes a computer-vision approach to estimating human poses in images, and he is associated with Meta Platforms, Inc.

Latest Patents

Matzen is credited with 1 patent: “Systems and Methods for Optimizing Pose Estimation.” The invention uses probability models for body parts and the segments connecting them. A system evaluates image regions using these models, calculates scores for candidate connections, and uses the scores to select a region indicating where a body part appears. This method is designed to improve pose estimation by considering both individual body-part probabilities and their relationships.

Career Highlights

The patent reflects Matzen’s work on image analysis and human pose estimation. By combining probability-based region selection with evaluations of connecting segments, the disclosed system offers a structured way to identify body parts in an image.

Collaborations

Matzen’s listed coworkers include Peter Vajda and Ross Girshick. His company affiliation is Meta Platforms, Inc.

Conclusion

Kevin Matzen’s patent describes a probability-based method for locating body parts and their connections in images, contributing to innovation in computer vision and pose estimation.

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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