Woodland Hills, CA, United States of America

Patricia Trish Keaton


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 48(Granted Patents)


Company Filing History:


Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: Patricia Trish Keaton: Innovator in Vision-Based Technology

Introduction

Patricia Trish Keaton is a notable inventor based in Woodland Hills, CA (US). She has made significant contributions to the field of vision-based technology, particularly in pointer tracking and object classification systems. Her innovative work has the potential to enhance user interaction with digital devices.

Latest Patents

Patricia holds a patent for a "Vision-based pointer tracking and object classification method and apparatus." This system comprises a computer system that includes a processor, memory, and input/output components. It is designed to receive a series of image frames from a camera and output a path of a pointer. The system features a tracking system and a recognition system that accurately tracks the user's fingertip, allowing for effective object classification. The Robust Tracking Filter within the tracking system accommodates uncertainties, while the object recognition system employs an invariant technique to recognize objects despite changes in user viewpoint. Patricia's innovative approach has led to the development of a system that enhances user experience in digital environments. She has 1 patent to her name.

Career Highlights

Patricia is currently employed at Hrl Laboratories, LLC, where she continues to work on cutting-edge technologies. Her career is marked by a commitment to advancing the capabilities of vision-based systems, making her a valuable asset in her field.

Collaborations

Throughout her career, Patricia has collaborated with talented individuals such as Sylvia Dominguez and Ali H Sayed. These partnerships have contributed to her success and the development of innovative solutions in technology.

Conclusion

Patricia Trish Keaton is a pioneering inventor whose work in vision-based technology is shaping the future of user interaction with digital devices. Her contributions are significant and continue to inspire advancements in the field.

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