Xinju Wu

Title: Innovations of Inventor Xinju Wu

Introduction

Xinju Wu is a notable inventor based in Hong Kong, China. He has made significant contributions to the field of point cloud geometry compression. His innovative approach has led to the development of a unique method that enhances the efficiency of data processing in this area.

Latest Patents

Xinju Wu holds a patent for a method of learning-based point cloud geometry compression. This patent outlines a comprehensive process that includes regressing an aligned mesh from a source point cloud, quantizing parameters into a bitstream, and generating an aligned point cloud through mesh manipulation. The method also involves extracting features from both the source and aligned point clouds, encoding coordinates into a bitstream, and reconstructing the point cloud using processed bitstreams.

Career Highlights

Xinju Wu is affiliated with the City University of Hong Kong, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in various technological fields, particularly in data compression and processing.

Collaborations

Xinju Wu collaborates with esteemed colleagues such as Sam Tak Wu Kwong and Shiqi Wang. Their combined expertise contributes to the advancement of research in point cloud geometry and related technologies.

Conclusion

Xinju Wu's contributions to point cloud geometry compression exemplify the impact of innovative thinking in technology. His work not only enhances data processing but also sets a foundation for future advancements in the field.