18432973. IMPROVEMENT ON PREDICTIVE TREE-BASED GEOMETRY CODING FOR A POINT CLOUD simplified abstract (TENCENT AMERICA LLC)
Contents
- 1 IMPROVEMENT ON PREDICTIVE TREE-BASED GEOMETRY CODING FOR A POINT CLOUD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMPROVEMENT ON PREDICTIVE TREE-BASED GEOMETRY CODING FOR A POINT CLOUD - 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 Original Abstract Submitted
IMPROVEMENT ON PREDICTIVE TREE-BASED GEOMETRY CODING FOR A POINT CLOUD
Organization Name
Inventor(s)
Xiang Zhang of Palo Alto CA (US)
IMPROVEMENT ON PREDICTIVE TREE-BASED GEOMETRY CODING FOR A POINT CLOUD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18432973 titled 'IMPROVEMENT ON PREDICTIVE TREE-BASED GEOMETRY CODING FOR A POINT CLOUD
Simplified Explanation
The patent application describes a method, computer program, and computer system for decoding point cloud data by reducing the number of contexts associated with the data to improve decoding efficiency.
- Syntax elements for predictive tree-based coding of the point cloud are reduced in size to decrease the number of contexts associated with the data.
- The reduced number of contexts is used to decode the data corresponding to the point cloud efficiently.
Potential Applications
This technology could be applied in various fields such as:
- 3D modeling and rendering
- Augmented reality and virtual reality
- Autonomous driving and robotics
Problems Solved
This technology addresses the following issues:
- Inefficient decoding of point cloud data
- High computational complexity in processing large point cloud datasets
Benefits
The benefits of this technology include:
- Improved decoding efficiency
- Reduced computational resources required for decoding point cloud data
- Enhanced performance in applications utilizing point cloud data
Potential Commercial Applications
The technology could find commercial applications in:
- Software development for 3D modeling and visualization
- Autonomous vehicle systems
- Cloud computing services for processing point cloud data
Possible Prior Art
One possible prior art could be the use of predictive tree-based coding in image or video compression algorithms to reduce data size and improve decoding efficiency.
Unanswered Questions
How does this technology compare to existing point cloud decoding methods in terms of speed and accuracy?
This article does not provide a direct comparison with existing methods, leaving uncertainty about the performance advantages of this technology.
What are the potential limitations or constraints of implementing this technology in real-world applications?
The article does not discuss any potential challenges or constraints that may arise when implementing this technology, leaving room for further exploration into its practical implications.
Original Abstract Submitted
A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. A number of contexts associated with the received data is reduced based on reducing a size of an array corresponding to syntax elements for predictive tree-based coding of the point cloud. The data corresponding to the point cloud is decoded based on the reduced number of contexts.
