Yi Ting Shao

Title: Innovations of Yi Ting Shao in Point Cloud Technology

Introduction

Yi Ting Shao is a prominent inventor based in Guangdong, China, known for his contributions to point cloud technology. He holds three patents that focus on methods and devices for predicting and compressing point cloud attributes. His work has significant implications for various applications in computer vision and graphics.

Latest Patents

One of Yi Ting Shao's latest patents is the "Point cloud attribute prediction method and device based on filter." This invention provides a method that includes a coding and decoding process, utilizing a filter matrix to enhance the compression performance of point cloud attributes. The method involves determining the K nearest neighbor points of the current point and calculating the attribute prediction value based on the filter matrix.

Another notable patent is the "Hierarchical division-based point cloud attribute compression method." This method introduces a new coding scheme that adaptively divides a point cloud into a hierarchical structure based on spatial position and color distribution. The approach enhances coding efficiency and fault tolerance, significantly improving the performance of point cloud attribute compression.

Career Highlights

Yi Ting Shao is affiliated with Peking University, where he continues to advance research in point cloud technology. His innovative methods have garnered attention in the field, contributing to the development of more efficient data processing techniques.

Collaborations

He collaborates with notable colleagues, including Ge Li and Rong Wang, who share his passion for advancing technology in this domain.

Conclusion

Yi Ting Shao's work in point cloud technology exemplifies the innovative spirit of modern inventors. His patents not only enhance the efficiency of data processing but also pave the way for future advancements in the field.