Simulating Vision through Retinal Prothesis
Group Members: Alex Martinez
Back to Psych 221 Projects 2014
Introduction
The basic description of our project is as follows:
What Has Been Done in the Past
Describe past prothesis simulations
What We Intend to Do
Develop a Simulation that incorporates computer vision, such a facial recognition, in enhancing what information is sent to the patient.
Background
Methods
Results
Conclusions and Future Work
References - Resources and related work
References
[1] "Project Xense Retinal Implant Simulation" etc.cmu.edu. Carnegie Mellon University, 2012. Web. 14 Mar 2014. <http://www.etc.cmu.edu/projects/tatrc>.
[2] "Photo to colored dot patterns with OpenCV" opencv-code.com OpenCV Code, Feb 13, 2013. Web. 3 Mar 2014 <https://opencv-code.com/tutorials/photo-to-colored-dot-patterns-with-opencv>.
[3] "Introduction to OpenCV" opencv-python-tutroals.readthedocs.org. OpenCV-Python Tutorials, 18 Feb 2014. Web. 15 Mar 2014. <http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_setup/py_table_of_contents_setup/py_table_of_contents_setup.html>
[4] Brian A. Wandell, Foundations of Vision, Chapter 9. https://www.stanford.edu/group/vista/cgi-bin/FOV/chapter-9-color/#Linear_Models
Software
Image Systems Engineering Toolbox http://imageval.com/
Python OpenCV http://http://opencv.org/
Appendix I - Code and Data
In the belief that the techniques used may be illustrated best by example, the Python code used to perform the image processing is available below.
Code
All code was written in Python 2.7.5 for Mac OSX, Mavericks. External dependencies include the OpenCV and NumPy
Presentation
This project was given as a 5-minute presentation to the PSYCH221 Winter 2013 class at Stanford. The presentation files used are linked below.