This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Zhejiang University. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Sida Peng in Three-Dimensional Reconstruction
Introduction
Sida Peng is an innovative inventor based in Hangzhou, China. He has made significant contributions to the field of three-dimensional reconstruction, particularly in the context of moving human bodies. His work focuses on optimizing the representation of human figures through advanced methods that leverage neural networks.
Latest Patents
Sida Peng holds a patent for a method titled "Three-dimensional reconstruction and angle of view synthesis method for moving human body." This invention discloses a novel approach to reconstructing a moving human body by optimizing three-dimensional representations derived from multi-angle view videos. The method involves defining hidden variables on mesh vertices of a deformable human body model and transforming these variables based on the model's deformation characteristics. It also includes mapping these variables to voxel density and color using a neural network, ultimately achieving high-quality angle of view synthesis with minimal input angles.
Career Highlights
Sida Peng is affiliated with Zhejiang University, where he continues to advance his research in three-dimensional modeling and reconstruction techniques. His work has garnered attention for its innovative approach and practical applications in various fields, including animation, gaming, and virtual reality.
Collaborations
Sida has collaborated with notable colleagues, including Xiaowei Zhou and Hujun Bao, who contribute to the research and development of his projects. Their combined expertise enhances the quality and impact of their work in the field.
Conclusion
Sida Peng's contributions to three-dimensional reconstruction represent a significant advancement in the field. His innovative methods and collaborative efforts continue to push the boundaries of technology and improve the understanding of human motion in digital environments.
