Bochum, Germany

Stefan Gehlen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2009-2010

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2 patents (USPTO):Explore Patents

Title: Innovations of Stefan Gehlen

Introduction

Stefan Gehlen is a notable inventor based in Bochum, Germany. He has made significant contributions to the field of image processing and verification. With a total of 2 patents, his work focuses on enhancing the accuracy and reliability of digitized images for identification purposes.

Latest Patents

One of his latest patents is titled "Method for controlling photographs of people." This innovative method provides a way to verify digitized images of individuals, ensuring their suitability for identification. The process involves segmenting the image into background and face areas, analyzing the face area for characteristic values, and comparing these values against predetermined thresholds.

Another significant patent is "Hierarchical image model adaptation." This method processes digitized picture data using a hierarchical structure graph. It involves matching picture models to data by varying model parameters and determining a matching quantity for each variation. This assessment serves as a criterion for further processing, enhancing the overall effectiveness of image analysis.

Career Highlights

Stefan Gehlen is associated with Viisage Technology AG, a company known for its advancements in biometric identification and image processing technologies. His work at Viisage has contributed to the development of innovative solutions in the field.

Collaborations

Throughout his career, Stefan has collaborated with notable colleagues, including Martin Werner and Michael Brauckmann. These partnerships have fostered a creative environment that encourages the exchange of ideas and technological advancements.

Conclusion

Stefan Gehlen's contributions to image processing and verification demonstrate his commitment to innovation in technology. His patents reflect a deep understanding of the complexities involved in digitized image analysis. Through his work, he continues to influence the field and pave the way for future advancements.

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