Qualcomm incorporated (20240135596). ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION simplified abstract
Contents
- 1 ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION
Organization Name
Inventor(s)
Anique Akhtar of San Diego CA (US)
Geert Van Der Auwera of San Diego CA (US)
Adarsh Krishnan Ramasubramonian of Irvine CA (US)
Marta Karczewicz of San Diego CA (US)
ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135596 titled 'ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION
Simplified Explanation
The method described in the abstract involves encoding point cloud data by first encoding geometry data of a source point cloud, then decoding the encoded geometry data to generate reconstructed geometry data, and finally performing an attribute recomputing process on attribute data of the source point cloud based on the reconstructed geometry data to generate recomputed, reconstructed point cloud data of the target point cloud.
- Receiving geometry data of a source point cloud for encoding.
- Encoding the geometry data to generate encoded geometry data of a target point cloud and a geometry bitstream.
- Decoding the encoded geometry data to generate reconstructed geometry data.
- Performing an attribute recomputing process on attribute data of the source point cloud based on the reconstructed geometry data.
- Encoding the recomputed, reconstructed point cloud data to generate an attribute bitstream.
Potential Applications
This technology could be applied in fields such as 3D modeling, virtual reality, augmented reality, and geographic information systems.
Problems Solved
This method solves the problem of efficiently encoding and decoding point cloud data while preserving geometry and attribute information.
Benefits
The benefits of this technology include improved data compression, faster data transmission, and more efficient storage of point cloud data.
Potential Commercial Applications
Potential commercial applications of this technology could include data compression software for point cloud data, cloud storage services for 3D models, and virtual reality content creation tools.
Possible Prior Art
One possible prior art in this field is the use of traditional encoding techniques for point cloud data, which may not be as efficient or effective as the method described in the patent application.
Unanswered Questions
How does this method compare to existing point cloud data encoding techniques?
The article does not provide a direct comparison with existing techniques in the field.
What are the limitations of this method in terms of scalability and complexity of point cloud data?
The article does not address the potential limitations of the method in handling large-scale or complex point cloud data sets.
Original Abstract Submitted
a method of encoding point cloud data includes receiving, for a first encoding process, geometry data of the point cloud data of a source point cloud; encoding, in accordance with the first encoding process, the geometry data to generate encoded geometry data of a target point cloud and a geometry bitstream; decoding the encoded geometry data to generate reconstructed geometry data; performing an attribute recomputing process on attribute data of the point cloud data of the source point cloud based on the reconstructed geometry data to generate recomputed, reconstructed point cloud data of the target point cloud; and encoding, in accordance with a second encoding process, the recomputed, reconstructed point cloud data to generate an attribute bitstream.
