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Eye HDR: gaze-adaptive system for displaying high-dynamic-range images

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SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Art Gallery & Emerging Technologies: Adaptation

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https://doi.org/10.1145/1665137.1665187

Published: 16 December 2009 Publication History

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Abstract

The human visual system (HVS) uses several methods to interactively adapt to the incredible real-world range of light intensities, continually changing to effectively perceive visual information. Eye HDR is a new approach to the problem of displaying high-dynamic-range (HDR) content on low-dynamic-range displays. Instead of creating a single static image, it uses a dynamic display system to naturally, interactively adapt to the user's view, just as the HVS changes depending on the environment.

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Khan IRahardja SKhan MMovania MAbed F(2018)A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual SystemIEEE Transactions on Industrial Electronics10.1109/TIE.2017.276024765:4(3469-3479)Online publication date: Apr-2018
https://doi.org/10.1109/TIE.2017.2760247
Mauderer MFlatla DNacenta MKaye JDruin ALampe CMorris DHourcade J(2016)Gaze-Contingent Manipulation of Color PerceptionProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858320(5191-5202)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858320
E. Jacobs DGallo OA. Cooper EPulli KLevoy M(2015)Simulating the Visual Experience of Very Bright and Very Dark ScenesACM Transactions on Graphics10.1145/271457334:3(1-15)Online publication date: 8-May-2015
https://dl.acm.org/doi/10.1145/2714573
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Index Terms

Eye HDR: gaze-adaptive system for displaying high-dynamic-range images
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
    2. Rendering
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Graphics input devices

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SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Art Gallery & Emerging Technologies: Adaptation

December 2009

89 pages

ISBN:9781605588780

DOI:10.1145/1665137

Conference Chairs:
Yuko Oda
New York Institute of Technology
,
Mariko Tanaka

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 16 December 2009

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SA09: SIGGRAPH ASIA 2009

December 16 - 19, 2009

Yokohama, Japan

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Khan IRahardja SKhan MMovania MAbed F(2018)A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual SystemIEEE Transactions on Industrial Electronics10.1109/TIE.2017.276024765:4(3469-3479)Online publication date: Apr-2018
https://doi.org/10.1109/TIE.2017.2760247
Mauderer MFlatla DNacenta MKaye JDruin ALampe CMorris DHourcade J(2016)Gaze-Contingent Manipulation of Color PerceptionProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858320(5191-5202)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858320
E. Jacobs DGallo OA. Cooper EPulli KLevoy M(2015)Simulating the Visual Experience of Very Bright and Very Dark ScenesACM Transactions on Graphics10.1145/271457334:3(1-15)Online publication date: 8-May-2015
https://dl.acm.org/doi/10.1145/2714573
Rozado DEl Shoghri AJurdak R(2015)Gaze dependant prefetching of web content to increase speed and comfort of web browsingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2015.02.00678:C(31-42)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.ijhcs.2015.02.006
Mantiuk RBazyluk BMantiuk R(2013)Gaze‐driven Object Tracking for Real Time RenderingComputer Graphics Forum10.1111/cgf.1203632:2pt2(163-173)Online publication date: 6-May-2013
https://doi.org/10.1111/cgf.12036
Mantiuk RMarkowski M(2013)Gaze-Dependent Tone MappingImage Analysis and Recognition10.1007/978-3-642-39094-4_48(426-433)Online publication date: 2013
https://doi.org/10.1007/978-3-642-39094-4_48
Sundstedt VBernhard MStavrakis EReinhard EWimmer M(2013)Visual Attention and Gaze Behavior in Games: An Object-Based ApproachGame Analytics10.1007/978-1-4471-4769-5_25(543-583)Online publication date: 6-Mar-2013
https://doi.org/10.1007/978-1-4471-4769-5_25
Yamauchi TMikami TOuda ONakaguchi TTsumura N(2011)Improvement and Evaluation of Real-Time Tone Mapping for High Dynamic Range Images Using Gaze InformationComputer Vision – ACCV 2010 Workshops10.1007/978-3-642-22822-3_44(440-449)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22822-3_44
Yamauchi TMikami TOuda ONakaguchi TTsumura N(2010)Improvement and evaluation of real-time tone mapping for high dynamic range images using gaze informationProceedings of the 2010 international conference on Computer vision - Volume Part I10.5555/2040690.2040737(440-449)Online publication date: 8-Nov-2010
https://dl.acm.org/doi/10.5555/2040690.2040737

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Depth from HDR: depth induction or increased realism?

Do HDR displays support LDR content?: a psychophysical evaluation

Do HDR displays support LDR content?: a psychophysical evaluation

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Depth from HDR: depth induction or increased realism?

Do HDR displays support LDR content?: a psychophysical evaluation

Do HDR displays support LDR content?: a psychophysical evaluation

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