Daejeon, South Korea

Keun-Dong Lee

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2014-2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Keun-Dong Lee. Retrieved from https://idiyas.com/inventor/keun-dong-lee-2mfscx1x

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

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 6.2

ph-index = 1

Forward Citations = 7(Granted Patents)


Location History:

  • Daejeon-si, KR (2014)
  • Daejeon, KR (2015)

Company Filing History:


Years Active: 2014-2015

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2 patents (USPTO):Explore Patents

Title: Keun-Dong Lee: Innovator in Visual Descriptor Extraction

Introduction

Keun-Dong Lee is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of image processing and feature extraction. With a total of 2 patents, his work focuses on enhancing the methods and systems used for visual descriptor extraction.

Latest Patents

One of his latest patents is titled "Method of extracting visual descriptor using feature selection and system for the same." This invention provides a method and system for extracting a visual descriptor by utilizing a feature selection process. The system includes an image input unit that receives an image, a candidate feature point group detecting unit that identifies points with local maxima or minima in scale-space images, and a feature point selecting unit that calculates the importance of each candidate feature point. The dominant orientation of the selected feature point is then calculated, followed by the extraction of a visual descriptor from the corresponding patch.

Another notable patent is the "Scalable feature descriptor extraction and matching method and system." This method involves receiving an image for feature descriptor extraction, identifying a feature point based on significant changes in pixel statistical values, and extracting a patch centered on that feature point. The method further includes blocking the patch to calculate statistical values and extracting a feature descriptor using the morphological gradient.

Career Highlights

Keun-Dong Lee is affiliated with the Electronics and Telecommunications Research Institute, where he continues to innovate in the field of image processing. His work has been instrumental in advancing the technology used for visual descriptor extraction.

Collaborations

He has collaborated with notable coworkers, including Weon-Geun Oh and Sung-Kwan Je, contributing to various projects and research initiatives.

Conclusion

Keun-Dong Lee's contributions to the field of image processing through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the methods used for visual descriptor extraction, showcasing the importance of innovation in this area.

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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