Computational retinal imaging via binocular coupling and indirect illumination

Aug. 1, 2012

Lawson, Everett, Jason Boggess, Siddharth Khullar, Alex Olwal, Gordon Wetzstein, and Ramesh Raskar. “Computational retinal imaging via binocular coupling and indirect illumination.” In ACM SIGGRAPH 2012 Talks, pp. 1-1. 2012.


How can we capture images of the human retina using a standalone, hand-held, and user-interactive device? Our system comprises a unique co-design of a low-cost CMOS camera, programmable stimulus control, and indirect diffusive illumination to create an interactive and portable alternative to conventional retinal (fundus) imaging devices. Using this imaging platform, we add the dimension of user interaction to the field of wireless health and telemedicine by enabling unsupervised and efficient retinal imaging for measuring longitudinally modulating parameters within the human retina. 

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