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Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays
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 sp...
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| creator | Makinen, Jani Sahin, Erdem Akpinar, Ugur Gotchev, Atanas |
| description | 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. |
| doi_str_mv | 10.1109/ICIP42928.2021.9506773 |
| format | conference_proceeding |
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Thus, it provides a competitive alternative to the existing accommodation-invariant displays.</description><subject>Coherence</subject><subject>Coherent imaging</subject><subject>Computational near-eye displays</subject><subject>Integrated optics</subject><subject>Lighting</subject><subject>Neural networks</subject><subject>Optical design</subject><subject>Optical losses</subject><subject>Optics</subject><subject>Speckle</subject><subject>Training</subject><issn>2381-8549</issn><isbn>1665441151</isbn><isbn>9781665441155</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKw0AUQEdBsK1-gSD5gcR755WZZYltDQR1oesySe7UkbxIopC_V7SrszkcOIzdIySIYB_yLH-V3HKTcOCYWAU6TcUFW6PWSkpEhZdsxYXB2Chpr9l6mj4BOKDAFSuyvh2-ZjeHvnNNlPUfNFI3R3nrTqE7Rft-jLZV1bdtX_9Jcd59uzG4X-eZ3BjvFooewzQ0bplu2JV3zUS3Z27Y-373lj3Fxcshz7ZFHDiIOeaEnIzwnLzkZEuHsjYV1GikkN6b1GqUrvagCLX1ugbQ2qc2VaVVKZRiw-7-u4GIjsMYWjcux_O5-AF0kk38</recordid><startdate>20210919</startdate><enddate>20210919</enddate><creator>Makinen, Jani</creator><creator>Sahin, Erdem</creator><creator>Akpinar, Ugur</creator><creator>Gotchev, Atanas</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20210919</creationdate><title>Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays</title><author>Makinen, Jani ; Sahin, Erdem ; Akpinar, Ugur ; Gotchev, Atanas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-2e12e83f2ef42e9ba14d8c0d18434ff879614adf05e169f6d0066f7975b9570b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Coherence</topic><topic>Coherent imaging</topic><topic>Computational near-eye displays</topic><topic>Integrated optics</topic><topic>Lighting</topic><topic>Neural networks</topic><topic>Optical design</topic><topic>Optical losses</topic><topic>Optics</topic><topic>Speckle</topic><topic>Training</topic><toplevel>online_resources</toplevel><creatorcontrib>Makinen, Jani</creatorcontrib><creatorcontrib>Sahin, Erdem</creatorcontrib><creatorcontrib>Akpinar, Ugur</creatorcontrib><creatorcontrib>Gotchev, Atanas</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Makinen, Jani</au><au>Sahin, Erdem</au><au>Akpinar, Ugur</au><au>Gotchev, Atanas</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays</atitle><btitle>2021 IEEE International Conference on Image Processing (ICIP)</btitle><stitle>ICIP</stitle><date>2021-09-19</date><risdate>2021</risdate><spage>3433</spage><epage>3437</epage><pages>3433-3437</pages><eissn>2381-8549</eissn><eisbn>1665441151</eisbn><eisbn>9781665441155</eisbn><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. 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| identifier | EISSN: 2381-8549 |
| ispartof | 2021 IEEE International Conference on Image Processing (ICIP), 2021, p.3433-3437 |
| issn | 2381-8549 |
| language | eng |
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| source | IEEE Xplore All Conference Series |
| subjects | Coherence Coherent imaging Computational near-eye displays Integrated optics Lighting Neural networks Optical design Optical losses Optics Speckle Training |
| title | Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays |
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