Company Filing History:
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1 out of 932 
Years Active: 2016-2021
Title: Matthias Hullin: Innovator in Imaging Technology
Introduction
Matthias Hullin is a prominent inventor based in Bonn, Germany. He has made significant contributions to the field of imaging technology, particularly in the development of systems and methods for capturing object velocity. With a total of 2 patents, Hullin's work has advanced the understanding and application of time-of-flight imaging.
Latest Patents
Hullin's latest patents include innovative techniques for Doppler time-of-flight imaging. This technology provides systems and methods for imaging object velocity by utilizing at least one Time-of-Flight camera to capture signals representative of moving objects over an exposure time. The illumination and modulation frequency of the captured motion are coded within this exposure time. By mapping changes in illumination frequency to measured pixel intensities, Hullin's method extracts information about the Doppler shift in illumination frequency, allowing for the measurement of instantaneous per pixel velocity of the object in motion. Additionally, his patent on solving inverse imaging problems offers a computer-implemented method to compensate for distortions in images by minimizing a cost objective function that includes data fitting and image prior terms.
Career Highlights
Throughout his career, Matthias Hullin has worked at esteemed institutions such as King Abdullah University of Science and Technology and the University of British Columbia. His research has focused on enhancing imaging techniques, which have broad applications in various fields, including robotics and medical imaging.
Collaborations
Hullin has collaborated with notable colleagues, including Wolfgang Heidrich and Felix Heide. These partnerships have contributed to the advancement of imaging technologies and have fostered innovation in the field.
Conclusion
Matthias Hullin's contributions to imaging technology through his patents and collaborations highlight his role as a leading inventor in this domain. His work continues to influence advancements in how we capture and interpret motion in images.
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