Company Filing History:
Years Active: 2014
Title: Harmut Neven: Innovator in Facial Recognition Technology
Introduction
Harmut Neven is a prominent inventor known for his contributions to the field of facial recognition technology. He is based in Malibu, California, and has made significant strides in developing methods that enhance the way digital images are processed and recognized. His innovative approach has led to the creation of a patented technology that is widely recognized in the industry.
Latest Patents
Neven holds a patent for a "Method and apparatus to incorporate automatic face recognition in digital image collections." This patent describes a method and apparatus for creating and updating a facial image database from a collection of digital images. The technology involves storing a set of detected faces from a digital image collection in a facial image database, along with relevant data. It computes at least one facial recognition template for each face and groups the images according to these templates into similarity groups. Additionally, the patent includes a naming tool for assigning names to detected faces, enhancing the usability of facial image databases.
Career Highlights
Harmut Neven is currently employed at Google Inc., where he continues to work on advancing facial recognition technologies. His career has been marked by a commitment to innovation and excellence in the field of image processing. Neven's work has not only contributed to the technological landscape but has also paved the way for future advancements in artificial intelligence and machine learning.
Collaborations
Throughout his career, Neven has collaborated with notable colleagues, including Hartwig Adam and Johannes Steffens. These collaborations have fostered an environment of innovation and have led to the development of cutting-edge technologies in the realm of facial recognition.
Conclusion
Harmut Neven's contributions to facial recognition technology exemplify the impact of innovative thinking in the digital age. His patented methods and ongoing work at Google Inc. continue to shape the future of image processing and recognition.