Company Filing History:
Years Active: 2013-2014
Title: Gavin Doughtie: Innovator in Facial Recognition Technology
Introduction
Gavin Doughtie is a notable inventor based in Pasadena, CA, who has made significant contributions to the field of facial recognition technology. With a total of 2 patents, he has developed innovative methods and apparatuses that enhance the way digital images are processed and recognized.
Latest Patents
One of Gavin's latest patents is a method and apparatus to incorporate automatic face recognition in digital image collections. This invention discloses a method for creating and updating a facial image database from a collection of digital images. A set of detected faces from a digital image collection is stored in a facial image database, along with relevant data. The invention computes at least one facial recognition template for each detected face and groups the images according to these templates into similarity groups. Additionally, it includes a naming tool for assigning names to multiple faces detected in a digital image collection. The facial image database stores data pertaining to these facial images, and the naming tool features a graphical user interface, a face detection module, a face recognition module, and a similarity grouping module.
Career Highlights
Gavin Doughtie is currently employed at Google Inc., where he continues to innovate and develop cutting-edge technologies. His work focuses on improving the efficiency and accuracy of facial recognition systems, which have applications in various fields, including security and social media.
Collaborations
Gavin has collaborated with talented individuals such as Johannes Steffens and Keith Shoji Kiyohara, contributing to the advancement of technology in his field.
Conclusion
Gavin Doughtie's work in facial recognition technology exemplifies the innovative spirit of modern inventors. His contributions are paving the way for advancements in how we interact with digital images and enhancing the capabilities of facial recognition systems.