“eyeSelfie: self directed eye alignment using reciprocal eye box imaging”

  • ©Tristan Swedish, Karin Roesch, Ik Hyun Lee, Krishna Rastogi, Shoshana Bernstein, and Ramesh Raskar




    eyeSelfie: self directed eye alignment using reciprocal eye box imaging

Session/Category Title:   VR, Display, and Interaction




    Eye alignment to the optical system is very critical in many modern devices, such as for biometrics, gaze tracking, head mounted displays, and health. We show alignment in the context of the most difficult challenge: retinal imaging. Alignment in retinal imaging, even conducted by a physician, is very challenging due to precise alignment requirements and lack of direct user eye gaze control. Self-imaging of the retina is nearly impossible.We frame this problem as a user-interface (UI) challenge. We can create a better UI by controlling the eye box of a projected cue. Our key concept is to exploit the reciprocity, “If you see me, I see you”, to develop near eye alignment displays. Two technical aspects are critical: a) tightness of the eye box and (b) the eye box discovery comfort. We demonstrate that previous pupil forming display architectures are not adequate to address alignment in depth. We then analyze two ray-based designs to determine efficacious fixation patterns. These ray based displays and a sequence of user steps allow lateral (x, y) and depth (z) wise alignment to deal with image centering and focus. We show a highly portable prototype and demonstrate the effectiveness through a user study.


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