Paper ID | SS-MRII.8 | ||
Paper Title | COMPUTATIONAL COHERENT IMAGING FOR ACCOMMODATION-INVARIANT NEAR-EYE DISPLAYS | ||
Authors | Jani Mäkinen, Erdem Sahin, Ugur Akpinar, Atanas Gotchev, Tampere University, Finland | ||
Session | SS-MRII: Special Session: Models and representations for Immersive Imaging | ||
Location | Area A | ||
Session Time: | Wednesday, 22 September, 08:00 - 09:30 | ||
Presentation Time: | Wednesday, 22 September, 08:00 - 09:30 | ||
Presentation | Poster | ||
Topic | Special Sessions: Models and Representations for Immersive Imaging | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
Abstract | We present a computational accommodation-invariant near-eye display, which relies on imaging with coherent light and utilizes static optics together with convolutional neural network-based preprocessing. The network and the display optics are co-optimized to obtain a depth-invariant display point spread function, and thus relieve the conflict between accommodation and ocular vergence cues that typically exists in conventional near-eye displays. We demonstrate through simulations that the computational near-eye display designed based on the proposed approach can deliver sharp images within a depth range of 3 diopters for an effective aperture (eyepiece) size of 10 mm. Thus, it provides a competitive alternative to the existing accommodation-invariant displays. |