Meta platforms technologies, llc (20240297961). Edge Assisted Virtual Calling simplified abstract
Contents
- 1 Edge Assisted Virtual Calling
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Edge Assisted Virtual Calling - 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 Depth-Enhanced Hologram Display System
- 1.13 Original Abstract Submitted
Edge Assisted Virtual Calling
Organization Name
meta platforms technologies, llc
Inventor(s)
Pranav Saxena of Sunnyvale CA (US)
Shreya Jain of San Jose CA (US)
Amogh Gupte of Middletown DE (US)
Edge Assisted Virtual Calling - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240297961 titled 'Edge Assisted Virtual Calling
Simplified Explanation
The patent application describes a system that enhances images with depth information to enable hologram display. An edge system processes user images to estimate depth and generate depth-encoded images for hologram projection.
- The system receives user images from a source system, such as stereoscopic or single perspective images.
- It estimates depth information from the images using machine learning models and an engine.
- Depth-encoded images are generated and transmitted to a target system for hologram display.
Key Features and Innovation
- Utilizes machine learning models and an engine to estimate depth from user images.
- Offloads hologram workloads from end-user devices to an edge system.
- Enables the display of holograms using depth-encoded images.
Potential Applications
This technology can be used in:
- Virtual reality applications
- Teleconferencing systems
- Entertainment industry for special effects
Problems Solved
- Enhances user experience by enabling hologram display.
- Offloads processing tasks from end-user devices.
- Improves the realism of holographic projections.
Benefits
- Enhanced user experience with hologram display.
- Efficient processing of depth information using machine learning.
- Offloading of hologram workloads to edge systems.
Commercial Applications
- "Depth-Enhanced Hologram Display System for Virtual Reality Applications"
Prior Art
There may be prior art related to depth estimation from images using machine learning models and hologram display systems.
Frequently Updated Research
Research on improving depth estimation accuracy using machine learning models in hologram display systems.
Questions about Depth-Enhanced Hologram Display System
1. How does the system estimate depth from user images? 2. What are the potential commercial applications of this technology?
Original Abstract Submitted
implementations augment images with depth information to support hologram display. an edge system can receive, from a source system, images of a user. for example, the images can be two-dimensional images captured by multiple cameras at different perspectives (e.g., stereoscopic images), or single perspective images. the edge system can estimate depth information using the images, for example by processing the images using an engine and one or more machine learning models, and generate depth encoded images. the edge system can then transmit the depth encoded images to a target system, which can ultimately display a hologram of the user using the depth encoded images. accordingly, implementations can offload, from end-user devices (e.g., the source system and/or target system), hologram workloads to an edge system loaded with an engine and machine learning model(s).
