Brasilia, Brazil

Tomás Borges

This inventor holds 1 USPTO granted patent. Top assignee: Interdigital Ce Patent Holdings, Sas. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tomás Borges. Retrieved from https://idiyas.com/inventor/tomas-borges

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Tomás Borges and His Patent for Progressive Mesh Encoding

Introduction

Tomás Borges is an inventor associated with Brasília, Brazil. His patent work addresses methods for encoding and reconstructing dynamic meshes progressively, using wavelet transforms and zerotree coding.

Latest Patents

Borges is associated with 1 patent: “Progressive Encoding and Adaptive Reconstruction of Dynamic Meshes Using Zerotree Coding.” The disclosed techniques encode displacement data that represents spatial differences between a base mesh and a mesh being encoded. The data is transformed into wavelet coefficients at multiple resolution levels, then zerotree-encoded in a traversal order based on a zerotree hierarchy to produce a coded bitstream. The patent also describes decoding that bitstream, recovering the wavelet coefficients, and inverse-transforming them into displacement data for mesh reconstruction.

Career Highlights

Borges is associated with InterDigital CE Patent Holdings, SAS. His patent reflects work on progressive mesh compression and reconstruction, enabling mesh data to be encoded and decoded through a structured, multiresolution process.

Collaborations

Borges’s listed coworkers include Maja Krivokuca and Olivier Mocquard. Their shared association with InterDigital CE Patent Holdings, SAS, provides context for the professional environment connected with his patent work.

Conclusion

Tomás Borges’s patent focuses on progressive encoding and adaptive reconstruction of dynamic meshes through wavelet transforms and zerotree coding.

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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