Tie Jun Huang

Title: Innovations in Point Cloud Attribute Compression by Tie Jun Huang

Introduction

Tie Jun Huang is a notable inventor based in Guangdong, China. He has made significant contributions to the field of point cloud attribute compression, holding two patents that showcase his innovative approaches. His work focuses on enhancing the efficiency and performance of point cloud data processing.

Latest Patents

Huang's latest patents include a "Hierarchical division-based point cloud attribute compression method" and a "Multi-angle adaptive intra-frame prediction-based point cloud attribute compression method." The first patent introduces a hierarchical division-based coding scheme that adaptively divides point clouds into a 'stripe-macroblock-block' structure. This method improves coding efficiency and fault tolerance while enhancing performance. The second patent presents a novel intra-frame prediction scheme that reduces information redundancy among coding blocks, thereby improving compression performance.

Career Highlights

Tie Jun Huang is affiliated with Peking University, where he continues to advance research in point cloud technology. His innovative methods have the potential to significantly impact various applications in computer vision and graphics.

Collaborations

Huang has collaborated with notable colleagues, including Ge Li and Yi Ting Shao, contributing to the advancement of their shared research interests.

Conclusion

Tie Jun Huang's work in point cloud attribute compression represents a significant advancement in the field, showcasing his innovative spirit and dedication to improving data processing techniques. His contributions are poised to influence future developments in technology.