Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

3 Lataukset (Pure)

Abstrakti

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.
AlkuperäiskieliEnglanti
Otsikko2021 IEEE International Conference on Image Processing
KustantajaIEEE
Sivut3433-3437
Sivumäärä5
ISBN (elektroninen)978-1-6654-4115-5
DOI - pysyväislinkit
TilaJulkaistu - 23 elok. 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Image Processing - , Yhdysvallat
Kesto: 19 syysk. 202122 syysk. 2021

Julkaisusarja

NimiProceedings : International Conference on Image Processing
ISSN (elektroninen)2381-8549

Conference

ConferenceIEEE International Conference on Image Processing
Maa/AlueYhdysvallat
Ajanjakso19/09/2122/09/21

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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