Steinbach, Germany

Bernhard Froeba

USPTO Granted Patents = 1 


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Bernhard Froeba: Innovator in Body Part Recognition Technology

Introduction

Bernhard Froeba is a notable inventor based in Steinbach, Germany. He has made significant contributions to the field of image processing, particularly in the recognition and location of physically demarcated body parts. His innovative approach combines computational efficiency with high recognition accuracy.

Latest Patents

Froeba holds a patent for the "Evaluation of edge direction information." This patent describes a method for recognizing and locating body parts such as the face, hand, and leg in a person's image. The procedure utilizes a minimal amount of computation while ensuring sufficient recognition accuracy. By evaluating borderlines in the image along specific line directions, the method compares the detected body part with a predefined model. Additionally, it employs line directions within the body part image to accurately locate and store its position. Froeba's patent represents a significant advancement in the field of image recognition.

Career Highlights

Bernhard Froeba is associated with the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., a leading research organization in Germany. His work at this institution has allowed him to focus on innovative technologies that enhance image processing capabilities. Froeba's dedication to research and development has positioned him as a key figure in his field.

Collaborations

Froeba collaborates with Christian Kueblbeck, contributing to advancements in their shared research interests. Their partnership exemplifies the collaborative spirit that drives innovation in technology.

Conclusion

Bernhard Froeba's contributions to body part recognition technology highlight his innovative spirit and commitment to advancing image processing. His patent demonstrates the potential for efficient and accurate recognition methods, paving the way for future developments in this area.

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