Hangzhou, China

Hongzhi Wu


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Inventor Hongzhi Wu

Introduction

Hongzhi Wu is a prominent inventor based in Hangzhou, China. He has made significant contributions to the fields of computer graphics and computer vision. With a total of 2 patents, his work focuses on advanced methods for material acquisition and three-dimensional object analysis.

Latest Patents

One of his latest patents is a "Freestyle acquisition method for high-dimensional material." This innovative method transforms the learning of material information into a geometric learning problem on an unstructured point cloud. It effectively aggregates information from high-dimensional point clouds, which are often disordered and unevenly distributed, to reconstruct high-quality material attributes.

Another notable patent is the "Methods for obtaining normal vector, geometry and material of three-dimensional objects based on neural network." This method utilizes specific patterns to actively irradiate an object while capturing photos simultaneously. By calculating the obtained photos, it derives a normal vector and optimizes the object's model. This approach not only enhances the accuracy of the normal vector but also allows for the acquisition of material feature information, resulting in high-quality geometric and material outcomes.

Career Highlights

Hongzhi Wu has worked with esteemed institutions such as Zhejiang University and Faceunity Technology Co., Ltd. His experience in these organizations has contributed to his expertise in the field of material acquisition and computer vision technologies.

Collaborations

He has collaborated with notable individuals, including Kun Zhou and Kaizhang Kang, further enriching his research and development efforts.

Conclusion

Hongzhi Wu's innovative patents and career achievements highlight his significant impact on the fields of computer graphics and computer vision. His work continues to pave the way for advancements in material acquisition techniques.

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