Qibing Wang

Title: Innovations of Qibing Wang in Point Cloud Denoising

Introduction

Qibing Wang is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of point cloud processing, particularly in the area of denoising methods. His innovative approach has led to the development of a unique patent that addresses challenges in maintaining data quality while reducing noise.

Latest Patents

Qibing Wang 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 process aims to improve denoising effects while preserving sharp features and avoiding quality degradation of point cloud data. The method iteratively learns the displacement of noise points and defines a loss function for network training, ensuring convergence under specific conditions.

Career Highlights

Throughout his career, Qibing Wang has worked at prestigious institutions such as China Jiliang University and Zhejiang University. His experience in these academic environments has allowed him to advance his research and contribute to the field of point cloud technology.

Collaborations

Qibing Wang has collaborated with Jiawei Lu, enhancing his research efforts and expanding the impact of his innovations.

Conclusion

Qibing Wang's contributions to point cloud denoising represent a significant advancement in the field. His innovative methods and collaborative efforts continue to influence research and applications in this area.