This inventor holds 2 USPTO granted patents. Top assignees: Google Inc., Siemens Corporation. Active years: 2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011
Title: Innovations of Inventor Lingyun Liu
Introduction
Lingyun Liu is an accomplished inventor based in Elmhurst, NY (US). He has made significant contributions to the field of technology, particularly in image processing and mesh simplification. With a total of 2 patents, Liu's work showcases his innovative approach to solving complex problems.
Latest Patents
Lingyun Liu's latest patents include a method for classifying objects in a scene. This computer-implemented method involves receiving a plurality of data points corresponding to three-dimensional image data. It creates a first subset of data points above a ground plane in the scene, identifies a second subset associated with an object, and classifies these data points based on a calculated signature. Another notable patent is a method and apparatus for fast and efficient mesh simplification. This invention preserves the original geometry of a surface while reducing undesirable triangle geometries. The process determines whether an edge swap operation should be performed based on threshold criteria, ensuring efficient mesh simplification.
Career Highlights
Throughout his career, Lingyun Liu has worked with prominent companies such as Google Inc. and Siemens Corporation. His experience in these leading organizations has allowed him to refine his skills and contribute to groundbreaking projects in technology.
Collaborations
Lingyun Liu has collaborated with talented individuals, including Xiaoxu Ma and Daniel Joseph Filip. These partnerships have fostered a creative environment that encourages innovation and the development of new ideas.
Conclusion
Lingyun Liu's contributions to technology through his patents and collaborations highlight his role as a significant inventor in the field. His innovative methods in image classification and mesh simplification continue to influence advancements in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

