Company Filing History:
Years Active: 2011-2016
Title: Innovations by Kang Ying Cai in 3D Mesh Model Encoding
Introduction
Kang Ying Cai is a notable inventor based in Beijing, China. He has made significant contributions to the field of 3D mesh model encoding, holding a total of 8 patents. His work focuses on improving the efficiency of data compression for complex 3D models.
Latest Patents
One of his latest patents is a method for encoding and decoding a 3D mesh model that comprises one or more components. This method addresses the representation of 3D mesh models through three types of data: connectivity data, geometry data, and property data. The surface of a 3D object is represented as a triangle mesh, which contains vast amounts of data that require efficient compression. The innovation includes the use of an individual component coordinate system for each connected component, which normalizes the orientation of the respective component for quantization and de-quantization. This approach enhances the accuracy of encoded 3D mesh models, especially when they consist of multiple distinct components.
Another significant patent involves a method for encoding normals of a 3D mesh model and a method for decoding these normals. This process includes clustering normal components, determining sphere sectors for these clusters, and mapping normal components to predefined sectors. The re-clustering of normal components leads to improved predictive coding and a better compression ratio.
Career Highlights
Kang Ying Cai is currently associated with Thomson Licensing, where he continues to innovate in the field of 3D modeling. His expertise in encoding techniques has positioned him as a key figure in advancing the technology behind 3D mesh models.
Collaborations
Kang has collaborated with notable colleagues, including Zhi Chen and Qu Qing Chen, who contribute to his research and development efforts.
Conclusion
Kang Ying Cai's innovative work in 3D mesh model encoding has significantly impacted the field of data compression. His patents reflect a deep understanding of the complexities involved in 3D modeling, showcasing his commitment to advancing technology in this area.
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