Gm global technology operations llc (20240231277). HOLOGRAPHIC DISPLAY CALIBRATION simplified abstract
Contents
HOLOGRAPHIC DISPLAY CALIBRATION
Organization Name
gm global technology operations llc
Inventor(s)
HOLOGRAPHIC DISPLAY CALIBRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240231277 titled 'HOLOGRAPHIC DISPLAY CALIBRATION
The patent application describes a system for training a machine learning algorithm to generate ideal hologram phase correction maps using a holographic head-up display (HUD) and a camera system.
- The system displays duplicates of a graphic based on a hologram phase map on the HUD.
- A camera system views each duplicate of the graphic.
- A controller determines ground-truth hologram phase correction maps using a genetic algorithm.
- The controller generates a training dataset with images of the graphic to train the machine learning algorithm.
Potential Applications: - Advanced holographic displays - Augmented reality systems - Medical imaging technologies
Problems Solved: - Improving hologram phase correction accuracy - Enhancing the quality of holographic projections
Benefits: - Enhanced visual experiences - Increased accuracy in holographic displays - Potential for medical and scientific advancements
Commercial Applications: Title: Advanced Holographic Display Training System This technology could be used in industries such as: - Entertainment - Healthcare - Education
Prior Art: Prior research in holographic display technologies and machine learning algorithms could provide insights into similar systems.
Frequently Updated Research: Researchers may be exploring new algorithms for generating hologram phase correction maps or improving the efficiency of training machine learning models for holographic displays.
Questions about holographic display training systems: 1. How does this system improve the accuracy of holographic projections? This system uses a genetic algorithm to determine ground-truth hologram phase correction maps, leading to more precise holographic displays.
2. What are the potential real-world applications of this technology? This technology could be applied in various fields such as entertainment, healthcare, and education for advanced visual experiences and improved data visualization.
Original Abstract Submitted
a system for training a machine learning algorithm to generate a plurality of ideal hologram phase correction maps includes a holographic head-up display (hud) configured to display a plurality of duplicates of a graphic based on a hologram phase map. the system further includes a camera system configured to view each of the plurality of duplicates of the graphic. the system further includes a controller in electrical communication with the holographic hud and the camera system. the controller is programmed to determine a plurality of ground-truth hologram phase correction maps using a genetic algorithm, the holographic hud, and the camera system. the controller is further programmed to generate a training dataset including a plurality of images of the graphic and train the machine learning algorithm to generate the plurality of ideal hologram phase correction maps.
