Leawood, KS, United States of America

Congrong (Ron) Yu


Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2014-2023

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4 patents (USPTO):Explore Patents

Title: Congrong (Ron) Yu: Innovator in Facial Image Recognition

Introduction

Congrong (Ron) Yu is a notable inventor based in Leawood, Kansas, who has made significant contributions to the field of image recognition technology. With a total of four patents to his name, Yu's work focuses on enhancing the accuracy and robustness of facial image recognition systems.

Latest Patents

One of Yu's latest patents is titled "Facial image recognition using pseudo-images." This innovative approach utilizes 'pseudo-images' to perform image recognition, particularly for facial recognition applications. The process begins with a real-world image, which undergoes optional preprocessing before being transformed into a pseudo-image through a non-linear transformation. While the original image may contain perceivable real-world objects, these are not recognizable in the pseudo-image. The recognition process occurs by comparing the pseudo-image against a library of known pseudo-images, allowing for effective image recognition even in challenging conditions such as noise, poor illumination, and occlusion.

Career Highlights

Yu is currently affiliated with the Stowers Institute for Medical Research, where he continues to advance his research in image recognition technologies. His work has the potential to impact various applications, including security systems and user authentication processes.

Collaborations

Some of Yu's notable coworkers include Rishabh Raj and Dar Wilbur Dahlen, who contribute to the collaborative environment at the Stowers Institute.

Conclusion

Congrong (Ron) Yu's innovative work in facial image recognition through the use of pseudo-images showcases his expertise and dedication to advancing technology in this field. His contributions are paving the way for more reliable and efficient image recognition systems.

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