VERTICES GROUPING IN MESH MOTION VECTOR CODING

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Inventor(s)

VERTICES GROUPING IN MESH MOTION VECTOR CODING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18462017 titled 'VERTICES GROUPING IN MESH MOTION VECTOR CODING

The patent application describes a method and apparatus involving computer code that enables a processor to decode encoded volumetric data of three-dimensional visual content represented by a mesh obtained from a bitstream.

The processor partitions the vertices of the mesh into groups, with each group containing a specific number of vertices.
The encoded volumetric data is decoded by predicting the vertices in each group based on a prediction mode associated with the group.

Potential Applications:

This technology can be used in virtual reality (VR) and augmented reality (AR) applications for efficient decoding of complex 3D visual content.
It can also be applied in medical imaging for processing volumetric data of organs and tissues.

Problems Solved:

Efficient decoding of volumetric data represented by meshes.
Improved prediction of vertices in 3D visual content.

Benefits:

Enhanced performance in processing and decoding complex 3D visual content.
Increased efficiency in handling volumetric data in various applications.

Commercial Applications:

Virtual reality and augmented reality software development.
Medical imaging technology for healthcare institutions.

Questions about the Technology: 1. How does this technology improve the decoding process of volumetric data in comparison to traditional methods? 2. What are the potential limitations or challenges in implementing this technology in real-world applications?

Frequently Updated Research: Research on optimizing prediction algorithms for decoding volumetric data in 3D visual content is ongoing. Stay updated on advancements in this field for potential improvements in efficiency and accuracy.

Original Abstract Submitted

A method and apparatus comprising computer code configured to cause a processor or processors to obtain, from a bitstream, a mesh representing an encoded volumetric data of at least one three-dimensional (3D) visual content, partition a plurality of vertices of the mesh into a plurality of groups, each group including K number of vertices, wherein K is a positive integer, and decode the encoded volumetric data by predicting the vertices in each group of the plurality of groups based on a prediction mode associated with the each group.