Junbo Yao

Title: Junbo Yao: Innovator in Denoising Methods for Point Clouds

Introduction

Junbo Yao is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of data processing, particularly in the area of point cloud denoising. His innovative approach has garnered attention in both academic and industrial circles.

Latest Patents

Junbo Yao holds a patent for a "Denoising method based on multiscale distribution score for point cloud." This method involves constructing a two-layer network model that utilizes multiscale perturbation and point cloud distribution. The model includes a feature extraction module to extract features from the point cloud and a displacement prediction module to predict the displacement of noise points. The method aims to improve denoising effects while retaining sharp features and avoiding quality degradation of point cloud data. The process includes iteratively learning the displacement of noise points and defining a loss function for network training.

Career Highlights

Throughout his career, Junbo Yao has worked at notable institutions such as China Jiliang University and Zhejiang University. His work has focused on advancing techniques in data processing and enhancing the quality of point cloud data.

Collaborations

Junbo Yao has collaborated with Jiawei Lu, contributing to the development of innovative solutions in their field.

Conclusion

Junbo Yao's contributions to the field of point cloud denoising highlight his innovative spirit and dedication to advancing technology. His work continues to influence the landscape of data processing and serves as a foundation for future advancements.