Berlin, Germany

Thorsten Otto Wolfgang Magers

USPTO Granted Patents = 5 


 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2015-2021

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5 patents (USPTO):Explore Patents

Title: Thorsten Otto Wolfgang Magers: Innovator in Image Recognition Technology

Introduction

Thorsten Otto Wolfgang Magers is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of image recognition technology, holding a total of 5 patents. His innovative work focuses on systems and methods that enhance the way users interact with images captured from various sources.

Latest Patents

Magers' latest patents include groundbreaking systems and methods for image-feature-based recognition. These methods allow users to capture a single image snapshot from video, print, or their surroundings, enabling them to obtain additional information about the media or items of interest displayed in the snapshot. The process involves using a fingerprint of the snapshot as a query, which is then transmitted to a server. The Image Feature-Based Recognition system utilizes a feature index to identify a smaller set of candidate matches from a larger database of images based on the fingerprint. Novel methods and systems employing a distance metric and a radical hash table design exploit probabilistic effects, allowing distinct image features to be prioritized over redundant ones. This results in a lean index that can be quickly utilized in the identification process.

Career Highlights

Throughout his career, Magers has worked with notable companies, including Geenee GmbH and Geenee UG. His experience in these organizations has contributed to his expertise in image recognition technologies and systems.

Collaborations

Magers has collaborated with talented individuals such as Philipp Holzschneider and Hannes Priehn, further enhancing his innovative projects and contributions to the field.

Conclusion

Thorsten Otto Wolfgang Magers is a key figure in the development of image recognition technology, with a focus on creating efficient systems that improve user interaction with images. His patents and career achievements reflect his dedication to innovation in this dynamic field.

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