A Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays

Oleksii Doronin; Erdem Sahin; Robert Bregovic; Atanas Gotchev

doi:10.1109/ICIP40778.2020.9191109

A Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays

Oleksii Doronin, Erdem Sahin, Robert Bregovic, Atanas Gotchev

Tietotekniikka

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

Abstrakti

We address the problem of 3D scene rendering on near-eye integral imaging displays and evaluation of different rendering methods in terms of human perception. We compare three rendering techniques in terms of perceived spatial resolution at different focused depths, simulating the display in virtual environment and representing the eye through a thin-lens camera model.

Alkuperäiskieli	Englanti
Otsikko	2020 IEEE International Conference on Image Processing (ICIP)
Kustantaja	IEEE
Sivut	3418-3422
Sivumäärä	5
ISBN (elektroninen)	978-1-7281-6395-6
DOI - pysyväislinkit	https://doi.org/10.1109/ICIP40778.2020.9191109
Tila	Julkaistu - 1 lokak. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Image Processing - United Arab Emirates, Abu Dhabi, Yhdistyneet arabiemiirikunnat Kesto: 25 lokak. 2020 → 28 lokak. 2020 https://2020.ieeeicip.org

Julkaisusarja

Nimi	Proceedings : International Conference on Image Processing
ISSN (painettu)	1522-4880
ISSN (elektroninen)	2381-8549

Conference

Conference	IEEE International Conference on Image Processing
Lyhennettä	ICIP 2020
Maa/Alue	Yhdistyneet arabiemiirikunnat
Kaupunki	Abu Dhabi
Ajanjakso	25/10/20 → 28/10/20
www-osoite	https://2020.ieeeicip.org

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.1109/ICIP40778.2020.9191109

icip
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 1,29 MBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202301121351

Siteeraa tätä

@inproceedings{c26aa2d543174c0a876f9b9b0179e6c0,

title = "A Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays",

abstract = "We address the problem of 3D scene rendering on near-eye integral imaging displays and evaluation of different rendering methods in terms of human perception. We compare three rendering techniques in terms of perceived spatial resolution at different focused depths, simulating the display in virtual environment and representing the eye through a thin-lens camera model.",

keywords = "Three-dimensional displays, Cameras, Rendering (computer graphics), Lenses, Liquid crystal displays, Microoptics, Retina, Integral imaging, light field, 3d display, sampling, ray tracing",

author = "Oleksii Doronin and Erdem Sahin and Robert Bregovic and Atanas Gotchev",

note = "jufoid=57423; IEEE International Conference on Image Processing, ICIP 2020 ; Conference date: 25-10-2020 Through 28-10-2020",

year = "2020",

month = oct,

day = "1",

doi = "10.1109/ICIP40778.2020.9191109",

language = "English",

series = "Proceedings : International Conference on Image Processing",

publisher = "IEEE",

pages = "3418--3422",

booktitle = "2020 IEEE International Conference on Image Processing (ICIP)",

url = "https://2020.ieeeicip.org",

}

Doronin, O, Sahin, E , Bregovic, R & Gotchev, A 2020, A Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays. julkaisussa 2020 IEEE International Conference on Image Processing (ICIP). Proceedings : International Conference on Image Processing, IEEE, Sivut 3418-3422, IEEE International Conference on Image Processing, Abu Dhabi, Yhdistyneet arabiemiirikunnat, 25/10/20. https://doi.org/10.1109/ICIP40778.2020.9191109

TY - GEN

T1 - A Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays

AU - Doronin, Oleksii

AU - Sahin, Erdem

AU - Bregovic, Robert

AU - Gotchev, Atanas

N1 - jufoid=57423

PY - 2020/10/1

Y1 - 2020/10/1

N2 - We address the problem of 3D scene rendering on near-eye integral imaging displays and evaluation of different rendering methods in terms of human perception. We compare three rendering techniques in terms of perceived spatial resolution at different focused depths, simulating the display in virtual environment and representing the eye through a thin-lens camera model.

AB - We address the problem of 3D scene rendering on near-eye integral imaging displays and evaluation of different rendering methods in terms of human perception. We compare three rendering techniques in terms of perceived spatial resolution at different focused depths, simulating the display in virtual environment and representing the eye through a thin-lens camera model.

KW - Three-dimensional displays

KW - Cameras

KW - Rendering (computer graphics)

KW - Lenses

KW - Liquid crystal displays

KW - Microoptics

KW - Retina

KW - Integral imaging

KW - light field

KW - 3d display

KW - sampling

KW - ray tracing

U2 - 10.1109/ICIP40778.2020.9191109

DO - 10.1109/ICIP40778.2020.9191109

M3 - Conference contribution

T3 - Proceedings : International Conference on Image Processing

SP - 3418

EP - 3422

BT - 2020 IEEE International Conference on Image Processing (ICIP)

PB - IEEE

T2 - IEEE International Conference on Image Processing

Y2 - 25 October 2020 through 28 October 2020

ER -

A Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays

Abstrakti

Julkaisusarja

Conference

Julkaisufoorumi-taso

Pääsy asiakirjaan

Sormenjälki

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