Shanghai, China

Shu Fang

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2016-2022

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4 patents (USPTO):Explore Patents

Title: Innovations of Shu Fang in Image Processing Technologies

Introduction

Shu Fang is a notable inventor based in Shanghai, China, recognized for his contributions to image processing technologies. With a total of four patents to his name, he has made significant advancements in methods related to image depth determination and living body identification.

Latest Patents

Shu Fang's latest patents include an image depth determining method and a living body identification method, along with a circuit, device, and medium. The image depth determining method involves obtaining pixel coordinates of a feature point pair associated with an object point on a subject. It determines a first straight line passing through the origin of a first camera coordinate system based on pixel coordinates and intrinsic parameters of the first camera. Additionally, it establishes a second straight line for a second camera and determines the depth of the object point based on these lines and extrinsic parameters describing the relative position between the two cameras. Another significant patent is the disparity estimation method, which includes performing feature extraction on each image in an image pair and conducting cascaded multi-stage disparity processing to obtain multiple disparity maps with increasing sizes.

Career Highlights

Shu Fang has worked with Nextvpu (Shanghai) Co., Ltd., where he has applied his expertise in image processing. His innovative approaches have contributed to the development of advanced technologies in the field.

Collaborations

Shu Fang has collaborated with notable coworkers, including Ji Zhou and Xinpeng Feng, who have contributed to his research and development efforts.

Conclusion

Shu Fang's work in image processing technologies showcases his innovative spirit and dedication to advancing the field. His patents reflect significant contributions that enhance our understanding and capabilities in image depth determination and identification methods.

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