Mayo Foundation for Medical Education and Research (20240374131). Systems and Methods for Correcting and Optimizing a Visual Field simplified abstract
Contents
Systems and Methods for Correcting and Optimizing a Visual Field
Organization Name
Mayo Foundation for Medical Education and Research
Inventor(s)
Cheryl L. Khanna of Austin MN (US)
Raymond Iezzi of Rochester MN (US)
Jane M. Matsumoto of Rochester MN (US)
Systems and Methods for Correcting and Optimizing a Visual Field - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240374131 titled 'Systems and Methods for Correcting and Optimizing a Visual Field
Simplified Explanation: The patent application describes a system and method for correcting a subject's visual field using a predicted visual field based on facial contours. It also includes optimizing the head turn angle for determining the visual field.
- Three-dimensional (3D) reconstruction of the subject's face is used to predict the visual field, generated from a two-dimensional (2D) image using a convolution neural network.
- The optimal head turn angle is determined using the 3D reconstruction of the subject's face.
- Residual facial contour induced defects are predicted and a final corrected visual field is generated.
Potential Applications: This technology can be used in ophthalmology for diagnosing and treating visual field defects. It can also have applications in virtual reality and augmented reality for enhancing user experience based on head movements.
Problems Solved: This technology addresses the need for accurate correction of visual field defects in subjects. It also solves the challenge of determining the optimal head turn angle for maximizing the visual field.
Benefits: The system and method provide precise correction of visual field defects, leading to improved visual perception for the subject. It also offers a more efficient way to optimize the head turn angle for better visual field assessment.
Commercial Applications: "Visual Field Correction System and Method" can be utilized in ophthalmic clinics, virtual reality gaming, and sports training facilities to enhance visual performance and accuracy. It has the potential to revolutionize how visual field defects are diagnosed and corrected.
Prior Art: Prior research in the field of ophthalmology and computer vision may have explored similar techniques for visual field correction and head movement optimization. Researchers can look into studies on facial recognition technology and visual field testing for related information.
Frequently Updated Research: Researchers are constantly developing new algorithms and technologies to improve visual field correction and head turn angle optimization. Stay updated on advancements in computer vision and ophthalmic research for the latest innovations in this field.
Questions about Visual Field Correction System and Method: 1. How does the system predict visual field defects based on facial contours? 2. What are the potential implications of optimizing the head turn angle for determining the visual field?
Original Abstract Submitted
described herein is a system and method for correcting a visual field of a subject using a predicted visual field that includes visual field defects from facial contours of the subject. in an embodiment. the predicted visual field may be determined using a three-dimensional (3d) reconstruction of the face of the subject which may be generated from a two-dimensional (2d) image of the subject using a convolution neural network. a system and method for optimizing a head turn angle of a subject for determining a visual field of a subject is also described herein. an optimal head turn angle may be determined using the 3d reconstruction of the face of the subject. in some embodiments, after the visual field is maximized with positioning of the head. residual facial contour induced defects can be predicted and a final corrected field can be generated.
