Dissertation Defense of Anabel Martin Gonzalez
Title: Advanced Imaging in Head-Mounted Displays for Patients with Age-Related Macular Degeneration Abstract: Age-related macular degeneration (AMD) is one of the leading causes of low vision worldwide without a medical solution. Nevertheless, enhancement of people’s vision by means of mediated reality is conceivable. This thesis presents a head-mounted magnification system to enhance visual perception acquired with peripheral vision. A hybrid magnification technique is adjusted and implemented on a head-mounted display. Furthermore, a system for modeling and correcting distorted vision is proposed. The system obtains a correction model by means of a deformable grid. To evaluate the system, a method for simulating distorted vision is applied. By superimposing the model on OCT macular images, it is suitable to identify macular features, which could help on the development of an automatic correction method. Committee Head: Prof. Krcmar, TUM1st Referee: Prof. Navab, TUM
2nd Referee: Prof. Lanzl, TUM
Date: Wednesday, September 28, 2011 Time: 12:00 Location: MI 01.13.010 Technische Universität München
Fakultät für Informatik
Boltzmannstr. 3
85748 Garching b. München
Germany
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| Title: | Advanced Imaging in Head-Mounted Displays for Patients with Age-Related Macular Degeneration |
| Date: | 28 September 2011 |
| Location: | MI 01.13.010 |
| Abstract: | Age-related macular degeneration (AMD) is one of the leading causes of low vision worldwide without a medical solution. Nevertheless, enhancement of people’s vision by means of mediated reality is conceivable. This thesis presents a head-mounted magnification system to enhance visual perception acquired with peripheral vision. A hybrid magnification technique is adjusted and implemented on a head-mounted display. Furthermore; a system for modeling and correcting distorted vision is proposed. The system obtains a correction model by means of a deformable grid. To evaluate the system; a method for simulating distorted vision is applied. By superimposing the model on OCT macular images; it is suitable to identify macular features; which could help on the development of an automatic correction method. |
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| Type: | News |
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