Hsinchu City, Taiwan

Su-Shen Hung

This inventor holds 1 USPTO granted patent. Top assignee: Industrial Technology Research Institute. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Su-Shen Hung. Retrieved from https://idiyas.com/inventor/su-shen-hung-vllsx5uw

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Su-Shen Hung and 3D Object Imaging

Introduction

Su-Shen Hung is an inventor based in Hsinchu City, Taiwan. Her work includes a patented method and system for imaging three-dimensional objects, and she is associated with the Industrial Technology Research Institute.

Latest Patents

Hung is named on 1 patent, titled “3D Object Imaging Method and 3D Object Imaging System.” The invention describes obtaining a 3D object generated by a Neural Radiance Field (NeRF) model and creating a wrapping mesh that surrounds it. Color values are sampled from the object’s surface and stored on a mapped 2D mesh. For a specified viewing angle, the system uses display rays to retrieve color values and render a 2D image of the 3D object on a user terminal.

Career Highlights

Hung’s patent focuses on translating a NeRF-generated 3D object into a view-dependent 2D display image. The approach combines mesh mapping, surface-color sampling, and ray-based pixel selection. Her professional affiliation is the Industrial Technology Research Institute.

Collaborations

The available information identifies Hung’s connection with the Industrial Technology Research Institute but does not specify collaborators or co-inventors for the described patent.

Conclusion

Su-Shen Hung’s patented imaging method brings together NeRF-generated 3D models and mapped color data to display objects from a selected viewpoint.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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