Company Filing History:
Years Active: 2012
Title: Michael Gotting: Innovator in Adaptive Scene Dependent Filters
Introduction
Michael Gotting is a notable inventor based in Spenge, Germany. He has made significant contributions to the field of image processing, particularly in online learning environments. His innovative approach focuses on enhancing the efficiency and effectiveness of object segmentation in electronic images.
Latest Patents
Michael Gotting holds 1 patent for his work titled "Adaptive scene dependent filters in online learning environments." This patent describes a method and system for determining an object segment in an electronic image. The method is designed to be sufficiently fast to allow real-time processing. It involves unsupervised learning of a multi-feature segmentation and the formation of a relevance map. Additionally, the method estimates the probability of a segment belonging to an object by analyzing the overlap between the segment and the relevance map in the electronic image.
Career Highlights
Michael Gotting is currently employed at Honda Research Institute GmbH, where he continues to develop innovative solutions in the field of image processing. His work is characterized by a commitment to advancing technology and improving user experiences in online learning environments.
Collaborations
Throughout his career, Michael has collaborated with esteemed colleagues such as Heiko Wersing and Jochen Steil. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Michael Gotting's contributions to adaptive scene dependent filters demonstrate his expertise and dedication to innovation in image processing. His work not only enhances the capabilities of electronic images but also paves the way for future advancements in online learning environments.