18294861. POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD simplified abstract (LG ELECTRONICS INC.)
Contents
- 1 POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Point Cloud Data Transmission
- 1.13 Original Abstract Submitted
POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD
Organization Name
Inventor(s)
POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18294861 titled 'POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD
Simplified Explanation
This patent application describes a method for encoding and transmitting point cloud data, as well as a method for receiving, decoding, and rendering the data.
Key Features and Innovation
- Encoding and transmitting point cloud data efficiently.
- Receiving, decoding, and rendering point cloud data accurately.
- Improving the transmission and visualization of point cloud data.
Potential Applications
This technology can be used in various industries such as:
- Virtual reality and augmented reality applications.
- Autonomous vehicles for processing sensor data.
- 3D modeling and mapping for urban planning and architecture.
Problems Solved
- Efficient transmission of large amounts of point cloud data.
- Accurate decoding and rendering of complex 3D data.
- Enhancing the visualization and analysis of point cloud information.
Benefits
- Improved data transmission speed and accuracy.
- Enhanced visualization capabilities for 3D data.
- Increased efficiency in processing and analyzing point cloud information.
Commercial Applications
- Title: "Enhanced Point Cloud Data Transmission Technology for VR and AR Applications"
- This technology can be utilized in VR and AR devices for immersive experiences.
- It can also be integrated into mapping and surveying tools for accurate data representation.
- Market implications include improved data processing in various industries, leading to enhanced productivity and innovation.
Prior Art
Further research can be conducted in the fields of data compression, 3D rendering techniques, and network protocols for data transmission.
Frequently Updated Research
Stay updated on advancements in point cloud data processing, 3D visualization technologies, and network optimization for data transmission.
Questions about Point Cloud Data Transmission
How does this technology improve the efficiency of point cloud data transmission?
This technology enhances efficiency by encoding and transmitting point cloud data in a streamlined manner, reducing data size and improving transmission speed.
What are the potential applications of this technology beyond VR and AR?
This technology can also be applied in autonomous vehicles, 3D modeling, and urban planning for processing and visualizing complex 3D data.
Original Abstract Submitted
A point cloud data transmission method according to embodiments may comprise the steps of: encoding point cloud data; and transmitting the point cloud data. A point cloud data reception method according to embodiments may comprise the steps of: receiving point cloud data; decoding the point cloud data; and rendering the point cloud data.
