Huawei technologies co., ltd. (20240104781). 3D Map Compression Method and Apparatus, and 3D Map Decompression Method and Apparatus simplified abstract

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3D Map Compression Method and Apparatus, and 3D Map Decompression Method and Apparatus

Organization Name

huawei technologies co., ltd.

Inventor(s)

Xiaoran Cao of Hangzhou (CN)

Pei Wang of Beijing (CN)

Kangying Cai of Beijing (CN)

Chenxi Tu of Shenzhen (CN)

3D Map Compression Method and Apparatus, and 3D Map Decompression Method and Apparatus - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240104781 titled '3D Map Compression Method and Apparatus, and 3D Map Decompression Method and Apparatus

Simplified Explanation

The abstract describes a method for compressing three-dimensional (3D) maps by compacting descriptors and obtaining compact representations of reference descriptors to create a bitstream of the 3D map.

  • Performing compaction processing on a to-be-encoded descriptor to obtain a first compact representation
  • Obtaining a compact representation of at least one reference descriptor
  • Obtaining a second compact representation of the to-be-encoded descriptor based on the first compact representation and the compact representation of the reference descriptor
  • Encapsulating the second compact representation to obtain a bitstream of the 3D map

Potential Applications

This technology could be applied in various fields such as virtual reality, augmented reality, gaming, navigation systems, and geographic information systems.

Problems Solved

1. Efficient compression of 3D maps 2. Reduced storage space required for storing 3D map data 3. Faster transmission of 3D map information over networks

Benefits

1. Improved data storage efficiency 2. Faster data transmission speeds 3. Enhanced user experience in applications utilizing 3D maps

Potential Commercial Applications

"Optimizing 3D Map Compression Technology for Enhanced Data Storage and Transmission"

Possible Prior Art

One possible prior art could be traditional methods of compressing 3D map data using standard compression algorithms.

Unanswered Questions

How does this method compare to existing 3D map compression techniques in terms of compression ratio and processing speed?

The article does not provide a direct comparison with existing methods.

Are there any limitations or constraints when applying this compression method to large-scale 3D maps?

The article does not address any potential limitations or constraints for large-scale 3D maps.


Original Abstract Submitted

a three-dimensional (3d) map compression method includes performing compaction processing on a to-be-encoded descriptor to obtain a first compact representation of the to-be-encoded descriptor, where the to-be-encoded descriptor corresponds to at least one 3d map point on a 3d map. a compact representation of at least one reference descriptor corresponding to the to-be-encoded descriptor is obtained, followed by obtaining a second compact representation of the to-be-encoded descriptor based on the first compact representation of the to-be-encoded descriptor and the compact representation of the at least one reference descriptor and encapsulating the second compact representation to obtain a bitstream of the 3d map.