Yan Hu

Title: Yan Hu: Innovator in 3D Measurement Technologies

Introduction

Yan Hu is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of 3D measurement technologies, holding a total of 3 patents. His innovative approaches have opened new avenues for high-precision data acquisition and calibration methods.

Latest Patents

One of Yan Hu's latest patents is a high-precision dynamic real-time 360-degree omnidirectional point cloud acquisition method based on fringe projection. This method utilizes fringe projection technology combined with an adaptive dynamic depth constraint mechanism to acquire high-precision three-dimensional data in real time. It enables low-cost, high-speed, and high-precision 3D real-time molding, which is beneficial for applications such as 360-degree workpiece surface defect detection and rapid reverse forming.

Another notable patent is a calibration method for fringe projection systems based on plane mirrors. This method involves placing mirrors behind the tested object to capture 360-degree two-dimensional information. By projecting phase-shifting fringe patterns and using advanced algorithms, the method converts the captured data into three-dimensional information. This innovative calibration technique avoids the loss of measurement accuracy and achieves high-precision panoramic three-dimensional measurement.

Career Highlights

Yan Hu has worked at esteemed institutions such as Nanjing University of Science and Technology and Hohai University. His experience in these organizations has allowed him to develop and refine his innovative technologies in 3D measurement.

Collaborations

Yan has collaborated with notable colleagues, including Chao Zuo and Jiaming Qian. Their combined expertise has contributed to the advancement of technologies in their respective fields.

Conclusion

Yan Hu is a distinguished inventor whose work in 3D measurement technologies has led to significant advancements in the field. His innovative patents and collaborations reflect his commitment to enhancing precision and efficiency in data acquisition methods.