Junghyun Ahn

Title: Junghyun Ahn and Point Cloud Compression

Introduction

Junghyun Ahn is an inventor based in New York, NY (US), whose patent work focuses on point cloud compression and reconstruction. His listed portfolio includes 4 patents and is associated with InterDigital VC Holdings, Inc.

Latest Patents

Ahn’s latest listed patent, “Dynamic PCC with Multiple Reference Frames,” describes a method for reconstructing a point cloud. The method obtains motion bitstreams, decodes corresponding motion features, and combines reference features with predicted features generated by neural network layers. The resulting merged feature is used to reconstruct the point cloud.

His other listed patent, “Point Cloud Attribute Compression with Point Cloud Geometry Decoupling,” concerns reconstructing point attributes. It uses a geometry feature map alongside an attribute feature map decoded from a bitstream. The decoded attribute map is updated with geometry information, and the updated map supports reconstruction of the point cloud’s attributes.

Career Highlights

The listed inventions address complementary aspects of point cloud compression: motion-based feature prediction and the use of geometry information to reconstruct point attributes. Both describe neural or feature-map-based processing for representing and rebuilding point cloud data.

Collaborations

Ahn’s listed coworkers include Jiahao Pang and Dong Tian. His patent work is associated with InterDigital VC Holdings, Inc.

Conclusion

Junghyun Ahn’s listed patents focus on methods for compressing and reconstructing point cloud data, including motion features, geometry, and point attributes.