The course «vision prosthesis and aritificial vision system» aims to provide basic knowledge of vision prosthesis, as well as to present the commercial bionic eyes and to introduce the main algorithms used as image processing. The course is divided into four main parts: Introduction to vision prosthesis, Bionic Eye, Image processing, example of vision system. Additionally, it will be also performed a Journal club
Gabel, V. P. (2017). Artificial vision. Springer: Berlin/Heidelberg, Germany.
Corke, P. (2017). Robotics, vision and control: fundamental algorithms in MATLAB (Second Edition). Springer.
Pine, K. R., Sloan, B. H., & Jacobs, R. J. (2015). Clinical ocular prosthetics. Cham: Springer International Publishing
Learning Objectives
Foundamental of visual prosthesis: Human eye, requirement to develop a prosthesis
Foundamental of bionic eye: functional blocks, knowledge of epiretinic and subretinic implants
Key analysis for vision processing: Image processing, features, machine learning.
Fundamental Algorithms in MATLAB®.
Prerequisites
None
Teaching Methods
Frontal Lesson
Journal Club
Practical exercises on Matlab
Further information
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Type of Assessment
Oral Exams
Course program
- Constituent elements of the eye: outer envelope, inner membrane, retina and optic nerve
- Sensory and perceptual function of the eye, Image pathway, functioning of the retina and cortex
- Retinal alterations and pathologies, major causes of vision loss
- Principles of optics, application of optics to the human eye, how colors are perceived in the human eye (with examples in matlab)
- History of prostheses, patient assessment, PMMA prosthesis, scleral shel prosthesis, contact lenses
- Retinal prosthesis, Optical nerve, Lateral Geniculate Nucleus prosthesis
- Optogenetics, magnetic stimulation
- Resolution, portability, packaging, implantable electronica, transmissions, electrodes.
- Argus III, EPI-RET3. IRIS implant.
- Alpha IMS Device, Boston Retinal Implant.
- Camera, Camera calibration, Histograms, operations, filtering, edge detection.
- Classification, representation, skeleton tracking, point 2 cloud,
- Exercise in extraction and classification of keypoints related to body posture & Gestures.