Haiyang Ying

Title: Innovations of Haiyang Ying in Semantic-Driven Light Field Reconstruction

Introduction

Haiyang Ying is a prominent inventor based in Beijing, China. He has made significant contributions to the field of image processing and light field technology. His innovative approach focuses on semantic-driven methods that enhance the reconstruction of large-scene sparse light fields.

Latest Patents

Haiyang Ying holds a patent titled "Method and system for semantic-driven intelligent reconstruction of large-scene sparse light field." This patent describes a method that includes acquiring a semantic primitive set of a multi-view image set. It also involves obtaining a coordinate offset by inputting coordinate information and a feature vector corresponding to a first grid sampling point into a first network model. The process continues with acquiring a second grid of the semantic primitive set based on the coordinate offset and geometric attribute information. Furthermore, it includes acquiring first feature information of a second grid sampling point and obtaining a light field reconstruction result based on an observation angle value.

Career Highlights

Haiyang Ying is affiliated with Tsinghua University, where he engages in cutting-edge research and development. His work has garnered attention for its innovative applications in the field of light field technology. With a focus on practical solutions, he continues to push the boundaries of what is possible in image reconstruction.

Collaborations

Haiyang Ying collaborates with notable colleagues, including Lu Fang and Jinzhi Zhang. Their combined expertise contributes to the advancement of research in their respective fields.

Conclusion

Haiyang Ying's contributions to semantic-driven light field reconstruction exemplify the innovative spirit of modern inventors. His work not only enhances technological capabilities but also paves the way for future advancements in image processing.