This inventor holds 2 USPTO granted patents. Top assignee: Fuji Xerox Co., Ltd.. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: Innovations by Inventor Xin Yang
Introduction
Xin Yang is a notable inventor based in Santa Barbara, CA, who has made significant contributions to the field of image processing and identification. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of image searches in large-scale databases.
Latest Patents
Xin Yang's latest patents include "Methods and apparatuses for Embedded Media Marker identification" and "Methods for improving image search in large-scale databases." The first patent describes a hierarchical comparison method that utilizes a coarse comparison at low resolution followed by a refining comparison at higher resolution. This approach aims to reduce false positives when identifying images based on Embedded Media Markers (EMM). The second patent addresses the challenge of searching for specific planar objects within large image databases. It categorizes the search problem into two classes based on geometric transformations: Rotation-Scale-Translation (RST) and affine/homography transformations.
Career Highlights
Xin Yang is currently employed at Fuji Xerox Co., Ltd., where he continues to innovate in the field of image processing. His work has been instrumental in developing systems that improve the accuracy of image searches, which is crucial in various applications, including digital media and security.
Collaborations
Xin has collaborated with talented coworkers, including Qiong Liu and Chunyuan Liao, who contribute to the innovative environment at Fuji Xerox Co., Ltd. Their combined expertise fosters advancements in technology and research.
Conclusion
Xin Yang's contributions to image processing through his patents demonstrate his commitment to innovation and excellence in technology. His work not only enhances image identification but also sets a foundation for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile