Hangzhou, China

Ping Ye

This inventor holds 1 USPTO granted patent. Top assignee: Arcsoft Corporation Limited. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ping Ye. Retrieved from https://idiyas.com/inventor/ping-ye-jnkfvi66

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Ping Ye in Hand Gesture Recognition

Introduction

Ping Ye is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of image processing, particularly in hand gesture recognition technology. His innovative approach has led to the development of a practical method that enhances the accuracy of recognizing hand gestures.

Latest Patents

Ping Ye holds a patent for a "Method and device for use in hand gesture recognition." This invention involves acquiring a depth map of a hand from a current image and estimating the positions of the hand's joints. The process includes creating a 3D point cloud of the hand and matching the joint positions with a stored 3D hand model. This method allows for accurate recognition of hand gestures by utilizing the second positions of the joints and the first degree of freedom parameters.

Career Highlights

Ping Ye is currently employed at Arcsoft Corporation Limited, where he continues to work on advancements in image processing technologies. His expertise in hand gesture recognition has positioned him as a key figure in the development of innovative solutions in this area.

Collaborations

Some of his notable coworkers include Zhiwei Zhang and Chen Tang, who have collaborated with him on various projects related to image processing and gesture recognition.

Conclusion

Ping Ye's contributions to hand gesture recognition technology exemplify the impact of innovative thinking in the field of image processing. His work not only enhances the accuracy of gesture recognition but also paves the way for future advancements in this exciting area of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…