This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch Gmbh. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovations of Marc Geese
Introduction
Marc Geese is an accomplished inventor based in Neu-Ulm, Germany. He has made significant contributions to the field of image processing through his innovative methods. His work focuses on enhancing the way images captured by optical sensors are encoded, which has important applications in various technologies.
Latest Patents
Marc Geese holds a patent for a method that generates at least one encoding rule to encode an image captured by an optical sensor. This method involves reading the image captured by the optical sensor and generating a frequency distribution of light-signal values at different pixels. Additionally, it includes assigning code words to these light-signal values based on the frequency distribution, ultimately creating an encoding rule for the image.
Career Highlights
Marc Geese is currently employed at Robert Bosch GmbH, a leading global supplier of technology and services. His role at the company allows him to work on cutting-edge projects that push the boundaries of image processing technology. His innovative approach has led to advancements that benefit various industries.
Collaborations
Marc has collaborated with notable colleagues such as Ulrich Seger and Tobias Rentschler. These partnerships have fostered a creative environment that encourages the development of new ideas and solutions in the field of image encoding.
Conclusion
Marc Geese's contributions to image processing through his patented methods demonstrate his expertise and innovative spirit. His work at Robert Bosch GmbH and collaborations with talented coworkers further highlight his impact on the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile