Apple inc. (20240119641). In-tree geometry quantization of point clouds simplified abstract
Contents
- 1 In-tree geometry quantization of point clouds
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 In-tree geometry quantization of point clouds - 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
In-tree geometry quantization of point clouds
Organization Name
Inventor(s)
Khaled Mammou of Vancouver (CA)
Fabrice A. Robinet of Sunnyvale CA (US)
In-tree geometry quantization of point clouds - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119641 titled 'In-tree geometry quantization of point clouds
Simplified Explanation
The example method described in the abstract involves encoding the position of points in a three-dimensional space using a tree data structure, partitioning sequences of bits, quantizing the bits based on an exponential function, and generating a data structure representing a point cloud with quantized bits.
- Encoding position of points in a three-dimensional space using a tree data structure
- Partitioning sequences of bits into first and second portions
- Quantizing bits based on an exponential function with a quantization parameter
- Generating a data structure representing a point cloud with quantized bits
Potential Applications
This technology could be applied in various fields such as:
- 3D modeling and rendering
- Virtual reality and augmented reality
- Geographic information systems (GIS)
- Autonomous vehicles and robotics
Problems Solved
This technology helps in:
- Efficient storage and representation of point cloud data
- Simplifying data processing and analysis
- Reducing computational complexity in handling large datasets
Benefits
The benefits of this technology include:
- Improved data compression and storage efficiency
- Enhanced data visualization and interpretation
- Faster data transmission and processing
Potential Commercial Applications
Potential commercial applications of this technology could include:
- Software development for 3D mapping and visualization
- Cloud computing services for data storage and processing
- Geospatial analysis tools for urban planning and environmental monitoring
Possible Prior Art
One possible prior art related to this technology could be the use of tree data structures for encoding spatial information in computer graphics and image processing applications.
Unanswered Questions
How does this technology compare to existing methods for encoding and quantizing point cloud data?
This article does not provide a direct comparison with existing methods for encoding and quantizing point cloud data. It would be helpful to understand the specific advantages and limitations of this approach compared to traditional techniques.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The article does not address the potential limitations or challenges in implementing this technology in real-world applications. It would be important to consider factors such as computational complexity, scalability, and compatibility with existing systems.
Original Abstract Submitted
an example method includes receiving a plurality of points that represent a point cloud; representing a position of the point in each dimension of a three-dimensional space as a sequence of bits, where the position of the point is encoded according to a tree data structure; partitioning at least one of the sequences of bits into a first portion of bits and a second portion of bits; quantizing each of the second portions of bits according to a quantization step size, where the quantization step size is determined according to an exponential function having a quantization parameter value as an input and the quantization step size as an output; and generating a data structure representing the point cloud and including the quantized second portions of bits.
