Meta platforms technologies, llc (20240353925). Gaze Based Auto Exposure Control Algorithm simplified abstract
Contents
Gaze Based Auto Exposure Control Algorithm
Organization Name
meta platforms technologies, llc
Inventor(s)
Saeid Bagheri of Costa Mesa CA (US)
Cesare Mercurio of Redwood City CA (US)
Ilya Brailovskiy of Fremont CA (US)
Wei Chen of Menlo Park CA (US)
Kristen Seipp of Kirkland WA (US)
Sean Delvecchio of Apopka FL (US)
Gaze Based Auto Exposure Control Algorithm - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240353925 titled 'Gaze Based Auto Exposure Control Algorithm
Simplified Explanation: This patent application describes a method that uses a user's eye gaze to determine a point of interest, assesses the stability of the gaze over time, assigns weights to regions of interest, and computes exposure control parameters for a camera based on this information.
Key Features and Innovation:
- Utilizes eye gaze to determine points of interest
- Evaluates temporal stability of eye gaze
- Assigns weights to regions of interest
- Computes exposure control parameters for a camera
Potential Applications: This technology could be used in eye-tracking systems for user interfaces, photography, and video recording applications.
Problems Solved: Addresses the need for more accurate and efficient methods of determining points of interest and adjusting camera settings accordingly.
Benefits:
- Improved accuracy in determining points of interest
- Enhanced control over exposure settings
- Increased efficiency in capturing images
Commercial Applications: This technology could be valuable in industries such as photography, videography, surveillance, and human-computer interaction systems.
Questions about Eye Gaze Technology: 1. How does this method improve upon existing eye-tracking technologies? 2. What are the potential privacy concerns associated with using eye gaze for determining points of interest?
Frequently Updated Research: Stay updated on advancements in eye-tracking technology and its applications in various industries to understand the evolving landscape of this field.
Original Abstract Submitted
in one embodiment, a method includes receiving a user's eye gaze and using the eye gaze to determine a point of interest. the method further includes determining a current region of interest based on the point of interest, determining a temporal stability of the eye gaze by comparing the current region of interest to a past region of interest, and assigning a weight to the region of interest. the method further includes using the weight and region of interest to compute an exposure control parameter, and instructing a camera to capture an image with the exposure control parameter.
