Jiamin Jin

Title: Innovations of Jiamin Jin in Point Cloud Technology

Introduction

Jiamin Jin is an accomplished inventor based in Guangdong, China. He has made significant contributions to the field of point cloud technology, particularly through his innovative methods that enhance data processing efficiency. His work is characterized by a focus on self-adaptive techniques that address the challenges of large-scale point clouds.

Latest Patents

Jiamin Jin holds a patent for a "Self-adaptive point cloud stripe division method." This method involves a systematic approach to dividing point clouds into local segments, allowing for improved processing capabilities. The process begins with spatial division to create multiple local point clouds. It then counts the points in each segment and compares them against predefined limits to ensure they meet specific requirements. Through iterative re-segmentation and re-fusion, the method adjusts the number of points to achieve a final point cloud stripe. This innovation supports parallel processing, enhances fault tolerance, and improves coding efficiency, making it particularly valuable in scenarios with bandwidth limitations.

Career Highlights

Jiamin Jin is affiliated with Peking University, where he continues to advance his research and development in point cloud technologies. His work has garnered attention for its practical applications and contributions to the field.

Collaborations

Jiamin collaborates with notable colleagues, including Ge Li and Yiting Shao, who contribute to his research endeavors. Their combined expertise fosters a dynamic environment for innovation and development.

Conclusion

Jiamin Jin's contributions to point cloud technology exemplify the impact of innovative thinking in addressing complex challenges. His self-adaptive methods not only enhance processing efficiency but also pave the way for future advancements in the field.