Anique Akhtar

Title: Anique Akhtar: Advancing Point Cloud Compression

Introduction

Anique Akhtar is an inventor based in San Diego, California, whose patent work focuses on methods for coding and reconstructing three-dimensional point cloud data. Akhtar is associated with Qualcomm Incorporated and holds 3 patents.

Latest Patents

Akhtar’s recent patent work addresses geometry scaling and attribute coding for point cloud compression.

“Geometry coordinate scaling for AI-based dynamic point cloud coding” describes a decoding device that determines how many times to upscale a downscaled encoded representation of point cloud geometry. The device decodes and upscales the geometry, then uses the resulting representation to reproduce the point cloud.

“Attribute coding and upscaling for point cloud compression” describes a process that decodes point cloud geometry and attribute data, applies the attributes to reconstructed geometry, and uses a residual learning network to produce a reconstructed point cloud.

Career Highlights

Akhtar’s listed inventions concern techniques for efficiently representing and reconstructing point cloud data. The work combines geometry processing, attribute coding, and machine-learning-based refinement, areas relevant to the development of advanced multimedia technologies.

Collaborations

Akhtar is associated with Qualcomm Incorporated. Listed collaborators include Marta Karczewicz and Adarsh Krishnan Ramasubramonian.

Conclusion

Anique Akhtar’s patent portfolio reflects a focus on improving point cloud compression and reconstruction through geometry scaling, attribute coding, and residual learning.