Dublin, CA, United States of America

Cengiz Onen


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Cengiz Onen: Innovator in Hand Feature Recognition Technology

Introduction

Cengiz Onen is an accomplished inventor based in Dublin, California. He has made significant contributions to the field of image processing, particularly in the area of hand feature recognition. His innovative approach combines both two-dimensional (2D) and three-dimensional (3D) image data to enhance the accuracy of hand feature determination.

Latest Patents

Cengiz holds a patent for a method that utilizes a combination of 2D and 3D image data to determine hand features information. This patent describes a process that includes receiving a 2D image frame and corresponding 3D image data. The method involves transforming and scaling the 2D image frame using the 3D data, resulting in a normalized 2D image frame that is both scaled and transformed. This innovative technique is performed using a computer, showcasing Cengiz's expertise in integrating advanced technology with practical applications.

Career Highlights

Cengiz Onen is currently employed at Kaiser Foundation Hospitals, where he applies his skills in image processing and technology development. His work focuses on improving healthcare solutions through innovative imaging techniques. His dedication to advancing technology in the medical field has made a significant impact on patient care and diagnostics.

Collaborations

Cengiz collaborates with Shruti Krishnagiri, a fellow professional in his field. Together, they work on projects that aim to enhance the capabilities of image processing technologies, contributing to advancements in healthcare and beyond.

Conclusion

Cengiz Onen is a notable inventor whose work in hand feature recognition technology exemplifies the intersection of innovation and practical application. His contributions continue to influence the field of image processing, particularly in healthcare settings.

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